Natural Language Processing for Climate Change Policy Analysis and Public Sentiment Prediction: A Data-Driven Approach to Sustainable Decision-Making

References

[1] Adebisi, B., Aigbedion, E., Ayorinde, O.B. & Onukwulu, E.C., 2022. A conceptual model for implementing lean maintenance strategies to optimize operational efficiency and reduce costs in oil & gas industries. International Journal of Management and Organizational Research, 1(1), pp.50-57. Available at: https://doi.org/10.54660/IJMOR.2022.1.1.50-57

[2] Adebisi, B., Aigbedion, E., Ayorinde, O.B. and Onukwulu, E.C., 2021. A Conceptual Model for Predictive Asset Integrity Management Using Data Analytics to Enhance Maintenance and Reliability in Oil & Gas Operations.

[3] Adebisi, B., Aigbedion, E., Ayorinde, O.B. and Onukwulu, E.C., 2022. International Journal of Social Science Exceptional Research.

[4] Adewoyin, M.A., 2021. Developing frameworks for managing low-carbon energy transitions: overcoming barriers to implementation in the oil and gas industry.

[5] Adewoyin, M.A., 2022. Advances in risk-based inspection technologies: Mitigating asset integrity challenges in aging oil and gas infrastructure.

[6] Adikwu, F.E., OZOBU, C.O., ODUJOBI, O., ONYEKWE, F.O. and NWULU, E.O., 2023. Advances in EHS Compliance: A Conceptual Model for Standardizing Health, Safety, and Hygiene Programs Across Multinational Corporations.

[7] Afolabi, M., Mokhtari, M., Ettehadi, A. and Adeyemo, A.L., 2021, December. Evaluating the Occurrence of Desiccation Cracks in Mudstones using Digital Image Correlation: Implications for the Interpretation of Cement-Filled Cracks in Sheepbed Mudstone, Yellowknife Bay Formation of Gale Crater on Mars. In AGU Fall Meeting 2021. AGU.

[8] Afolabi, M.A., 2023. Development of Pretreatment Methods for Aerobic Digestion of Low-Strength Synthetic Wastewater Possibly Generated During Space Exploration. University of Louisiana at Lafayette.

[9] Afolabi, S.O. and Akinsooto, O., 2021. Theoretical framework for dynamic mechanical analysis in material selection for high-performance engineering applications. Noûs, p.3.

[10] Afolabi, S.O. and Akinsooto, O., 2023. Conceptual framework for mitigating cracking in superalloy structures during wire arc additive manufacturing (WAAM). Int J Multidiscip Compr Res. Available from: https://www. allmultidisciplinaryjournal. com/uploads/archives/20250123172459_MGE-2025-1-190.1. pdf.

[11] Agbede, O. O., Akhigbe, E. E., Ajayi, A. J., & Egbuhuzor, N. S. (2023). Structuring Financing Mechanisms for LNG Plants and Renewable Energy Infrastructure Projects Globally. IRE Journals, 7(5), 379-392. https://doi.org/10.IRE.2023.7.5.1707093

[12] Agbede, O. O., Akhigbe, E. E., Ajayi, A. J., & Egbuhuzor, N. S. (2021). Assessing economic risks and returns of energy transitions with quantitative financial approaches. International Journal of Multidisciplinary Research and Growth Evaluation, 2(1), 552-566. https://doi.org/10.54660/.IJMRGE.2021.2.1.552-566

[13] Agho, G., Aigbaifie, K., Ezeh, M.O. and Isong, D., Oluseyi.(2023). Sustainability and carbon capture in the energy sector: A holistic framework for environmental innovation. Magna Scientia Advanced Research and Reviews, 9(2), pp.195-203.

[14] Agho, G., Ezeh, M.O., Isong, D. and Iwe, K.A., Oluseyi.(2023). Commercializing the future: Strategies for sustainable growth in the upstream oil and gas sector. Magna Scientia Advanced Research and Reviews, 8(1), pp.203-211.

[15] Agho, G., Ezeh, M.O., Isong, M., Iwe, D. and Oluseyi, K.A., 2021. Sustainable pore pressure prediction and its impact on geo-mechanical modelling for enhanced drilling operations. World Journal of Advanced Research and Reviews, 12(1), pp.540-557.

[16] Ajayi, A. J., Agbede, O. O., Akhigbe, E. E., & Egbuhuzor, N. S. (2023). Evaluating the economic effects of energy policies, subsidies, and tariffs on markets. International Journal of Management and Organizational Research, 2(1), 31-47. https://doi.org/10.54660/IJMOR.2023.2.1.31-47

[17] Ajayi, A. J., Akhigbe, E. E., Egbuhuzor, N. S., & Agbede, O. O. (2022). Economic analysis of transitioning from fossil fuels to renewable energy using econometrics. International Journal of Social Science Exceptional Research, 1(1), 96-110. https://doi.org/10.54660/IJSSER.2022.1.1.96-110

[18] Ajayi, A. J., Akhigbe, E. E., Egbuhuzor, N. S., & Agbede, O. O. (2021). Bridging data and decision-making: AI-enabled analytics for project management in oil and gas infrastructure. International Journal of Multidisciplinary Research and Growth Evaluation, 2(1), 567-580. https://doi.org/10.54660/.IJMRGE.2021.2.1.567-580

[19] Akhigbe, E. E., Egbuhuzor, N. S., Ajayi, A. J., & Agbede, O. O. (2022). Optimization of investment portfolios in renewable energy using advanced financial modeling techniques. International Journal of Multidisciplinary Research Updates, 3(2), 40-58. https://doi.org/10.53430/ijmru.2022.3.2.0054

[20] Akhigbe, E. E., Egbuhuzor, N. S., Ajayi, A. J., & Agbede, O. O. (2021). Financial valuation of green bonds for sustainability-focused energy investment portfolios and projects. Magna Scientia Advanced Research and Reviews, 2(1), 109-128. https://doi.org/10.30574/msarr.2021.2.1.0033

[21] Akhigbe, E. E., Egbuhuzor, N. S., Ajayi, A. J., & Agbede, O. O. (2023). Techno-Economic Valuation Frameworks for Emerging Hydrogen Energy and Advanced Nuclear Reactor Technologies. IRE Journals, 7(6), 423-440. https://doi.org/10.IRE.2023.7.6.1707094

[22] Akinsooto, O., 2013. Electrical energy savings calculation in single phase harmonic distorted systems. University of Johannesburg (South Africa).

[23] Akinsooto, O., De Canha, D. and Pretorius, J.H.C., 2014, September. Energy savings reporting and uncertainty in Measurement & Verification. In 2014 Australasian Universities Power Engineering Conference (AUPEC) (pp. 1-5). IEEE.

[24] Akintobi, A.O., Okeke, I.C. and Ajani, O.B., 2023. Innovative solutions for tackling tax evasion and fraud: Harnessing blockchain technology and artificial intelligence for transparency. Int J Tax Policy Res, 2(1), pp.45-59.

[25] Amafah, J., Temedie-Asogwa, T., Atta, J.A. and Al Zoubi, M.A.M., 2023. The Impacts of Treatment Summaries on Patient-Centered Communication and Quality of Care for Cancer Survivors

[26] Anaba, D.C., Agho, M.O., Onukwulu, E.C. and Egbumokei, P.I., 2022. Conceptual model for integrating carbon footprint reduction and sustainable procurement in offshore energy operations. fuel, 16, p.4.

[27] Basiru, J.O., Ejiofor, C.L. and Ekene Cynthia Onukwulu & Attah, R.U., 2023. Enhancing financial reporting systems: A conceptual framework for integrating data analytics in business decision-making. IRE Journals,[online], 7(4), pp.587-606.

[28] Basiru, J.O., Ejiofor, C.L., Onukwulu, E.C. and Attah, R.U., 2022. Streamlining procurement processes in engineering and construction companies: a comparative analysis of best practices. Magna Sci Adv Res Rev, 6(1), pp.118-35.

[29] Basiru, J.O., Ejiofor, C.L., Onukwulu, E.C. and Attah, R.U., 2023. Optimizing administrative operations: A conceptual framework for strategic resource management in corporate settings. Int J Multidiscip Res Growth Eval, 4(1), pp.760-73.

[30] Basiru, J.O., Ejiofor, C.L., Onukwulu, E.C. and Attah, R.U., 2023. The impact of contract negotiations on supplier relationships: A review of key theories and frameworks for organizational efficiency. Int J Multidiscip Res Growth Eval, 4(1), pp.788-802.

[31] Basiru, J.O., Ejiofor, C.L., Onukwulu, E.C. and Attah, R.U., 2023. Sustainable procurement in multinational corporations: A conceptual framework for aligning business and environmental goals. Int J Multidiscip Res Growth Eval, 4(1), pp.774-87.

[32] Basiru, J.O., Ejiofor, C.L., Onukwulu, E.C. and Attah, R.U., 2023. Financial management strategies in emerging markets: a review of theoretical models and practical applications. Magna Sci Adv Res Rev, 7(2), pp.123-40.

[33] Basiru, J.O., Ejiofor, L.C., Onukwulu, C.E. and Attah, R.U., 2023. Adopting lean management principles in procurement: A conceptual model for improving cost-efficiency and process flow. Iconic Research and Engineering Journals, 6(12), pp.1503-1522.

[34] Basiru, J.O., Ejiofor, L.C., Onukwulu, C.E. and Attah, R.U., 2023. Corporate health and safety protocols: A conceptual model for ensuring sustainability in global operations. Iconic Research and Engineering Journals, 6(8), pp.324-343.

[35] Bristol-Alagbariya, B., Ayanponle, O.L. and Ogedengbe, D.E., 2022. Integrative HR approaches in mergers and acquisitions ensuring seamless organizational synergies. Magna Scientia Advanced Research and Reviews, 6(1), pp.78-85.

[36] Bristol-Alagbariya, B., Ayanponle, O.L. and Ogedengbe, D.E., 2022. Developing and implementing advanced performance management systems for enhanced organizational productivity. World Journal of Advanced Science and Technology, 2(1), pp.39-46.

[37] Bristol-Alagbariya, B., Ayanponle, O.L. and Ogedengbe, D.E., 2023. Human resources as a catalyst for corporate social responsibility: Developing and implementing effective CSR frameworks. International Journal of Multidisciplinary Research Updates, 6(1), pp.17-24.

[38] Brown, A. E., Ubeku, E., & Oshevire, P. (2015). Multi Algorithm of a Single Objective Function of a Single Phase Induction Motor. Journal of Multidisciplinary Engineering Science and Technology (JMEST), 2(12), 3400-3403. Retrieved from https://www.jmest.org​:contentReference[oaicite:0]{index=0}.

[39] Chukwuneke, J.L., Orugba, H.O., Olisakwe, H.C. and Chikelu, P.O., 2021. Pyrolysis of pig-hair in a fixed bed reactor: Physico-chemical parameters of bio-oil. South African Journal of Chemical Engineering, 38, pp.115-120.

[40] Chukwuneke, J.L., Sinebe, J.E., Orugba, H.O., Olisakwe, H.C. and Ajike, C., 2022. Production and physico-chemical characteristics of pyrolyzed bio-oil derived from cow hooves. Arab Journal of Basic and Applied Sciences, 29(1), pp.363-371.

[41] Collins, A., Hamza, O. and Eweje, A., 2022. CI/CD pipelines and BI tools for automating cloud migration in telecom core networks: A conceptual framework. IRE Journals, 5(10), pp.323-324.

[42] Collins, A., Hamza, O. and Eweje, A., 2022. Revolutionizing edge computing in 5G networks through Kubernetes and DevOps practices. IRE Journals, 5(7), pp.462-463.

[43] Collins, A., Hamza, O., Eweje, A. and Babatunde, G.O., 2023. Adopting Agile and DevOps for telecom and business analytics: Advancing process optimization practices. International Journal of Multidisciplinary Research and Growth Evaluation, 4(1), pp.682-696.

[44] Daramola, O.M., Apeh, C.E., Basiru, J.O., Onukwulu, E.C. and Paul, P.O., 2023. Optimizing Reverse Logistics for Circular Economy: Strategies for Efficient Material Recovery and Resource Circularity.

[45] Egbuhuzor, N. S., Ajayi, A. J., Akhigbe, E. E., & Agbede, O. O. (2022). AI in Enterprise Resource Planning: Strategies for Seamless SaaS Implementation in High-Stakes Industries. International Journal of Social Science Exceptional Research, 1(1), 81-95. https://doi.org/10.54660/IJSSER.2022.1.1.81-95

[46] Egbuhuzor, N. S., Ajayi, A. J., Akhigbe, E. E., Agbede, O. O., Ewim, C. P.-M., & Ajiga, D. I. (2021). Cloud-based CRM systems: Revolutionizing customer engagement in the financial sector with artificial intelligence. International Journal of Science and Research Archive, 3(1), 215-234. https://doi.org/10.30574/ijsra.2021.3.1.0111

[47] Egbuhuzor, N. S., Ajayi, A. J., Akhigbe, E. E., Ewim, C. P.-M., Ajiga, D. I., & Agbede, O. O. (2023). Artificial Intelligence in Predictive Flow Management: Transforming Logistics and Supply Chain Operations. International Journal of Management and Organizational Research, 2(1), 48-63. https://doi.org/10.54660/IJMOR.2023.2.1.48-63

[48] Egbuhuzor, N.S., Ajayi, A.J., Akhigbe, E.E. and Agbede, O.O., 2022. International Journal of Social Science Exceptional Research.

[49] Egbumokei, P.I., Dienagha, I.N., Digitemie, W.N. and Onukwulu, E.C., 2021. Advanced pipeline leak detection technologies for enhancing safety and environmental sustainability in energy operations. International Journal of Science and Research Archive, 4(1), pp.222-228.

[50] Elete, T.Y., Nwulu, E.O., Erhueh, O.V., Akano, O.A. and Aderamo, A.T., 2023. Early startup methodologies in gas plant commissioning: An analysis of effective strategies and their outcomes. International Journal of Scientific Research Updates, 5(2), pp.49-60.

[51] Elete, T.Y., Nwulu, E.O., Omomo, K.O., Esiri, A.E. and Aderamo, A.T., 2022. A generic framework for ensuring safety and efficiency in international engineering projects: key concepts and strategic approaches. International Journal of Frontline Research and Reviews, 1(2), pp.23-26.

[52] Elete, T.Y., Nwulu, E.O., Omomo, K.O., Esiri, A.E. and Aderamo, A.T., 2023. Alarm rationalization in engineering projects: Analyzing cost-saving measures and efficiency gains. International Journal of Frontiers in Engineering and Technology Research, 4(2), pp.22-35.

[53] Elete, T.Y., Nwulu, E.O., Omomo, K.O., Esiri, A.E. and Aderamo, A.T., 2022. Data analytics as a catalyst for operational optimization: A comprehensive review of techniques in the oil and gas sector. International Journal of Frontline Research in Multidisciplinary Studies, 1(2), pp.32-45.

[54] Fagbule, O.F., Amafah, J.O., Sarumi, A.T., Ibitoye, O.O., Jakpor, P.E. and Oluwafemi, A.M., 2023. Sugar-Sweetened Beverage Tax: A Crucial Component of a Multisectoral Approach to Combating Non-Communicable Diseases in Nigeria. Nigerian Journal of Medicine, 32(5), pp.461-466.

[55] Farooq, A., ABBEY, A.B.N. and ONUKWULU, E.C., 2023. Optimizing Grocery Quality and Supply Chain Efficiency Using AI-Driven Predictive Logistics.

[56] Fiemotongha, J.E., Igwe, A.N., Ewim, C.P.M. and Onukwulu, E.C., 2023. Innovative trading strategies for optimizing profitability and reducing risk in global oil and gas markets. Journal of Advance Multidisciplinary Research, 2(1), pp.48-65.

[57] Fredson, G., Adebisi, B., Ayorinde, O.B., Onukwulu, E.C., Adediwin, O. & Ihechere, A.O., 2022. Enhancing procurement efficiency through business process reengineering: cutting-edge approaches in the energy industry. International Journal of Social Science Exceptional Research, 1(1), pp.38-54. Available at: https://doi.org/10.54660/IJSSER.2022.1.1.38-54

[58] Fredson, G., Adebisi, B., Ayorinde, O.B., Onukwulu, E.C., Adediwin, O. and Ihechere, A.O., 2021. Driving organizational transformation: Leadership in ERP implementation and lessons from the oil and gas sector. Int J Multidiscip Res Growth Eval [Internet].

[59] Fredson, G., Adebisi, B., Ayorinde, O.B., Onukwulu, E.C., Adediwin, O. and Ihechere, A.O., 2021. Revolutionizing procurement management in the oil and gas industry: Innovative strategies and insights from high-value projects. Int J Multidiscip Res Growth Eval [Internet].

[60] Fredson, G., Adebisi, B., Ayorinde, O.B., Onukwulu, E.C., Adediwin, O. and Ihechere, A.O., 2022. International Journal of Social Science Exceptional Research.

[61] Fredson, G., Adebisi, B., Ayorinde, O.B., Onukwulu, E.C., Adediwin, O. & Ihechere, A.O., 2021. Revolutionizing procurement management in the oil and gas industry: innovative strategies and insights from high-value projects. International Journal of Multidisciplinary Research and Growth Evaluation, 2(1), pp.521-533. Available at: https://doi.org/10.54660/.IJMRGE.2021.2.1.521-533

[62] Fredson, G., Adebisi, B., Ayorinde, O.B., Onukwulu, E.C., Adediwin, O. & Ihechere, A.O., 2022. Maximizing business efficiency through strategic contracting: aligning procurement practices with organizational goals. International Journal of Social Science Exceptional Research, 1(1), pp.55-72. Available at: https://doi.org/10.54660/IJSSER.2022.1.1.55-72 [Accessed 13 March 2025].​

[63] Fredson, G., Adebisi, B., Ayorinde, O.B., Onukwulu, E.C., Adediwin, O. & Ihechere, A.O., 2021. Driving organizational transformation: leadership in ERP implementation and lessons from the oil and gas sector. International Journal of Multidisciplinary Research and Growth Evaluation, 2(1), pp.508-520. Available at: https://doi.org/10.54660/.IJMRGE.2021.2.1.508-520

[64] Fredson, G., Adebisi, B., Ayorinde, O.B., Onukwulu, E.C., Adediwin, O. and Ihechere, A.O., 2023. Strategic Risk Management in High-Value Contracting for the Energy Sector: Industry Best Practices and Approaches for Long-Term Success.

[65] Iwe, K.A., Daramola, G.O., Isong, D.E., Agho, M.O. and Ezeh, M.O., 2023. Real-time monitoring and risk management in geothermal energy production: ensuring safe and efficient operations. Journal Name Missing.

[66] Jahun, I., Said, I., El-Imam, I., Ehoche, A., Dalhatu, I., Yakubu, A., Greby, S., Bronson, M., Brown, K., Bamidele, M. and Boyd, A.T., 2021. Optimizing community linkage to care and antiretroviral therapy Initiation: Lessons from the Nigeria HIV/AIDS Indicator and Impact Survey (NAIIS) and their adaptation in Nigeria ART Surge. PLoS One, 16(9), p.e0257476.

[67] Jessa, E. (2017) 'Soil Stabilization Using Bio-Enzymes: A Sustainable Alternative to Traditional Methods', Journal of Communication in Physical Sciences, 2(1), pp. 50-67. Available at: https://journalcps.com/index.php/volumes/article/view/33/31.

[68] Jessa, E. (2023) 'The Role of Advanced Diagnostic Tools in Historic Building Conservation', Journal of Communication in Physical Sciences, 9(4), pp. 639-650. Available at: https://journalcps.com/index.php/volumes/article/view/147/135.

[69] Nwulu, E.O., Elete, T.Y., Aderamo, A.T., Esiri, A.E. and Erhueh, O.V., 2023. Promoting plant reliability and safety through effective process automation and control engineering practices. World Journal of Advanced Science and Technology, 4(1), pp.62-75.

[70] Nwulu, E.O., Elete, T.Y., Erhueh, O.V., Akano, O.A. and Aderamo, A.T., 2022. Integrative project and asset management strategies to maximize gas production: A review of best practices. World Journal of Advanced Science and Technology, 2(2), pp.18-33.

[71] Nwulu, E.O., Elete, T.Y., Erhueh, O.V., Akano, O.A. and Omomo, K.O., 2023. Machine learning applications in predictive maintenance: Enhancing efficiency across the oil and gas industry. International Journal of Engineering Research Updates, 5(1), pp.17-30.

[72] Nwulu, E.O., Elete, T.Y., Erhueh, O.V., Akano, O.A. and Omomo, K.O., 2022. Leadership in multidisciplinary engineering projects: A review of effective management practices and outcomes. International Journal of Scientific Research Updates, 4(2), pp.188-197.

[73] Nwulu, E.O., Elete, T.Y., Omomo, K.O., Akano, O.A. and Erhueh, O.V., 2023. The importance of interdisciplinary collaboration for successful engineering project completions: A strategic framework. World Journal of Engineering and Technology Research, 2(3), pp.48-56.

[74] Okolie, C. I., Hamza, O., Eweje, A., Collins, A., & Babatunde, G. O. (2021). Leveraging Digital Transformation and Business Analysis to Improve Healthcare Provider Portal. IRE Journals, 4(10), 253-254. https://doi.org/10.54660/IJMRGE.2021.4.10.253-254​:contentReference[oaicite:0]{index=0}.

[75] Okolie, C. I., Hamza, O., Eweje, A., Collins, A., Babatunde, G. O., & Ubamadu, B. C. (2022). Implementing Robotic Process Automation (RPA) to Streamline Business Processes and Improve Operational Efficiency in Enterprises. International Journal of Social Science Exceptional Research, 1(1), 111-119. https://doi.org/10.54660/IJMOR.2022.1.1.111-119​:contentReference[oaicite:1]{index=1}.

[76] Olisakwe, H., Ikpambese, K., Ipilakyaa, T. and Ekengwu, I., 2022. The Inhibitive Effect of Ficus Thonningii Leaves Extract in 1m HCL Solution as Corrosion Inhibitors on Mild Steel. Int J Innov Sci Res Tech, 7(1), pp.769-76.

[77] Olisakwe, H., Ikpambese, K.K., Ipilakyaa, T.D. and Qdeha, C.P., 2023. Effect of ternarization on corrosion inhibitive properties of extracts of Strangler fig bark, Neem leaves and Bitter leave on mild steel in acidic medium. Int. J. Res. Trends and Innov, 8(7), pp.121-130.

[78] Olisakwe, H.C., Tuleun, L.T. and Eloka-Eboka, A.C., 2011. Comparative study of Thevetia peruviana and Jatropha curcas seed oils as feedstock for Grease production. International Journal of Engineering Research and Applications, 1(3).

[79] Oluokun, O.A., 2021. Design of a Power System with Significant Mass and Volume Reductions, Increased Efficiency, and Capability for Space Station Operations Using Optimization Approaches (Doctoral dissertation, McNeese State University).

[80] Onukwulu, E.C., Agho, M.O. and Eyo-Udo, N.L., 2022. Circular economy models for sustainable resource management in energy supply chains. World Journal of Advanced Science and Technology, 2(2), pp.034-057.

[81] Onukwulu, E.C., Agho, M.O. and Eyo-Udo, N.L., 2023. Decentralized energy supply chain networks using blockchain and IoT. International Journal of Scholarly Research in Multidisciplinary Studies, 2(2), pp.066-085.

[82] Onukwulu, E.C., Agho, M.O. and Eyo-Udo, N.L., 2023. Developing a framework for supply chain resilience in renewable energy operations. Global Journal of Research in Science and Technology, 1(2), pp.1-18.

[83] Onukwulu, E.C., Agho, M.O. and Eyo-Udo, N.L., 2023. Developing a framework for AI-driven optimization of supply chains in energy sector. Global Journal of Advanced Research and Reviews, 1(2), pp.82-101.

[84] Onukwulu, E.C., Agho, M.O. and Eyo-Udo, N.L., 2023. Sustainable supply chain practices to reduce carbon footprint in oil and gas. Global Journal of Research in Multidisciplinary Studies, 1(2), pp.24-43.

[85] Onukwulu, E.C., Agho, M.O. and Eyo-Udo, N.L., Framework for sustainable supply chain practices to reduce carbon footprint in energy. Open Access Research Journal of Science and Technology. 2021; 1 (2): 12-34 [online]

[86] Onukwulu, E.C., Agho, M.O. and Eyo-Udo, N.L., Framework for sustainable supply chain practices to reduce carbon footprint in energy. Open Access Res J Sci Technol. 2021; 1 (2): 12–34 [online]

[87] Onukwulu, E.C., Dienagha, I.N., Digitemie, W.N. and Egbumokei, P.I., 2021. AI-driven supply chain optimization for enhanced efficiency in the energy sector. Magna Scientia Advanced Research and Reviews, 2(1), pp.087-108.

[88] Onukwulu, E.C., Dienagha, I.N., Digitemie, W.N. and Egbumokei, P.I., 2021. Predictive analytics for mitigating supply chain disruptions in energy operations. IRE Journals.

[89] Onukwulu, E.C., Dienagha, I.N., Digitemie, W.N. and Egbumokei, P.I., 2022. Blockchain for transparent and secure supply chain management in renewable energy. Int J Sci Technol Res Arch, 3(1), pp.251-72.

[90] Onukwulu, E.C., Dienagha, I.N., Digitemie, W.N. and Egbumokei, P.I., 2021. Framework for decentralized energy supply chains using blockchain and IoT technologies. IRE Journals.

[91] Onukwulu, E.C., Dienagha, I.N., Digitemie, W.N. and Egbumokei, P.I., 2022. Advances in digital twin technology for monitoring energy supply chain operations. IRE Journals.

[92] Onukwulu, E.C., Fiemotongha, J.E., Igwe, A.N. and Ewim, C.P.M., 2023. Transforming supply chain logistics in oil and gas: best practices for optimizing efficiency and reducing operational costs. Journal of Advance Multidisciplinary Research, 2(2), pp.59-76.

[93] Onyeke, F.O., Odujobi, O., Adikwu, F.E. and Elete, T.Y., 2022. Innovative approaches to enhancing functional safety in Distributed Control Systems (DCS) and Safety Instrumented Systems (SIS) for oil and gas applications. Open Access Research Journal of Multidisciplinary Studies, 3 (1). Open Access Research Journal of Multidisciplinary Studies, 3(1), pp.106-112.

[94] Onyeke, F.O., Odujobi, O., Adikwu, F.E. and Elete, T.Y., 2023. Functional safety innovations in burner management systems (BMS) and variable frequency drives (VFDs). A proactive approach to risk mitigation in refinery operations. International Journal of Science and Research Archive, 10(2), pp.1223-1230.

[95] Opia, F.N., MATTHEW, K.A. and MATTHEW, T.F., 2022. Leveraging Algorithmic and Machine Learning Technologies for Breast Cancer Management in Sub-Saharan Africa.

[96] Oteri, O.J., Onukwulu, E.C., Igwe, A.N., Ewim, C.P.M., Ibeh, A.I. and Sobowale, A., 2023. Cost Optimization in Logistics Product Management: Strategies for Operational Efficiency and Profitability.

[97] Oteri, O.J., Onukwulu, E.C., Igwe, A.N., Ewim, C.P.M., Ibeh, A.I. and Sobowale, A., 2023. Dynamic Pricing Models for Logistics Product Management: Balancing Cost Efficiency and Market Demands.

[98] Oteri, O.J., Onukwulu, E.C., Igwe, A.N., Ewim, C.P.M., Ibeh, A.I. and Sobowale, A., 2023. Artificial Intelligence in Product Pricing and Revenue Optimization: Leveraging Data-Driven Decision-Making.

[99] Oyedokun, O.O., 2019. Green human resource management practices and its effect on the sustainable competitive edge in the Nigerian manufacturing industry (Dangote) (Doctoral dissertation, Dublin Business School).

[100] Sobowale, A., Nwaozomudoh, M.O., Odio, P.E., Kokogho, E., Olorunfemi, T.A. and Adeniji, I.E., 2021. Developing a conceptual framework for enhancing interbank currency operation accuracy in Nigeria's banking sector. International Journal of Multidisciplinary Research and Growth Evaluation, 2(1), pp.481-494.

@article{1705008,
      author = {Jessica Obianuju Ojadi, Ekene Cynthia Onukwulu, Chinekwu Somtochukwu Odionu, Olumide Akindele Owulade},
      title = {Natural Language Processing for Climate Change Policy Analysis and Public Sentiment Prediction: A Data-Driven Approach to Sustainable Decision-Making},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {7},
      number = {3},
      pages = {731-751},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1705008.pdf},
      abstract = {Climate change policy decisions require comprehensive analysis of regulatory frameworks and public sentiment to ensure effective and sustainable solutions. Natural Language Processing (NLP) has emerged as a powerful tool for analyzing climate policies and predicting public sentiment, leveraging vast textual data sources such as government reports, social media, and news articles. This explores the role of NLP in extracting insights from climate policy documents, identifying key themes, and tracking policy evolution over time. Additionally, NLP-driven sentiment analysis provides a real-time understanding of public attitudes toward climate change, enabling policymakers to align regulations with societal concerns. By employing techniques such as topic modeling, sentiment classification, and named entity recognition, NLP facilitates the systematic evaluation of climate policies, helping identify gaps, inconsistencies, and emerging trends. Machine learning models, including transformer-based architectures like BERT and GPT, enhance the accuracy of policy analysis and sentiment prediction, offering deeper insights into the discourse surrounding climate action. Moreover, NLP-driven approaches help detect misinformation, assess the impact of policy communication, and predict potential public reactions to new regulations. Despite its advantages, NLP in climate policy analysis faces challenges such as data bias, ethical considerations, and computational complexities. Addressing these limitations requires robust data preprocessing techniques, interdisciplinary collaboration, and improved AI transparency. This paper highlights real-world applications of NLP in climate governance, including sentiment analysis of climate-related social media discussions and predictive modeling of policy impact. By integrating NLP with climate change decision-making, policymakers can leverage data-driven insights to craft effective, evidence-based policies. The study underscores the transformative potential of NLP in enhancing sustainable governance and fostering public trust in climate initiatives. Future research should focus on improving model interpretability and expanding multilingual capabilities to ensure inclusive climate policy analysis.},
      keywords = {Natural language processing, Climate change, Policy analysis, public sentiment prediction, Data-driven, Review},
      month = {September},
  }