Unheard Voices of Migrants: A Sentiment Analysis Approach to Rural Labour Migration

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Volume-XVIII, Issue-II, Jul.-Dec. 2025
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Year	2025
Volume/Issue/Review Month	Volume-XVIII \| Issue-II \| Jul.-Dec.
Title	Unheard Voices of Migrants: A Sentiment Analysis Approach to Rural Labour Migration
Authors	M.Vasuki, Dr.S.Ganapathy, Dr. P. Amarjothi
Broad area	Rural Management
Abstract	This article investigates the forces of rural labour migration in Ramanathapuram district, with emphasis on both structural motivations and emotional aspects. Historically, rural-urban and foreign migration has been influenced by economic push factors like poverty, job insecurity, inadequate wages, and absence of opportunities, as well as pulls factors like improved income, enhanced living conditions, and availability of quality health care and education. But this study builds on the analysis by adding sentiment analysis to capture the emotional dynamics of migration choices.Qualitative information was gathered among 150 migrant workers with open-ended interviews augmented with local stories from social media and regional news outlets. Sentiment analysis based on VADER and Text Blob Python tools yielded overwhelmingly negative emotional polarity (average sentiment score = -0.23). Around 58% of the responses were negative, 27% were neutral, and 15% were positive, with a score on subjectivity of 0.64, reflecting high emotional content. Migrants regularly complained about long working hours, separation from family, low wages, and abusive work conditions. Typical expressions of emotion were fear, helplessness, and loneliness.In spite of the hardships; some positive feelings were expressed, with migrants mentioning skill acquisition, improved remuneration, and readiness to return under better circumstances. The findings reinforce that migration is not solely an economic process but also a highly subjective and emotional experience. The research identifies the necessity for migration policies that include mental health counseling, emotional resilience training, and reintegration programs to promote integral migrant well-being.
DOI	https://doi.org/10.63340/SAMT/10000007
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Referenceses	Bhandari Prasad P. Journal of Tikapur Multiple Campus. J Tikapur Mult Campus. 2022;5(June):152–67 Xiao Y, Miao S, Sarkar C, Geng H, Yi L. Exploring the impacts of housing condition on migrants’ mentalhealth in nanxiang, shanghai: A structural equation modelling approach. Int J Environ Res Public Health.2018;15(2):0 14. Handral AR, Anbukkani P, Kumar P. Internal Labour Migration in India: Its Trends and Patterns. Ann AgricRes New Ser [Internet]. 2018;39(2):1–8. Available from: http://www.iesd.org.in/jesd/Journal pdf/2019-XV-1 Shankar.S.Kandhare.pdf Jaccob D. Euro-Mediterranean Security and Cooperation: Immigration Policies and Implications. SSRN Electron J. 2018;(December 2013). Keshri K, Bhagat RB. SOCIOECONOMIC DETERMINANTS OF TEMPORARY LABOUR MIGRATION IN INDIA: A regional analysis. Asian Popul Stud. 2013;9(2):175–95. Marcu N, Siminica M, Noja GG, Cristea M, Dobrota CE. Migrants’ integration on the European labor market: A spatial bootstrap, SEM and network approach. Sustain. 2018;10(12):1–21. Marcu N, Siminica M, Noja GG, Cristea M, Dobrota CE. Migrants’ integration on the European labor market: A spatial bootstrap, SEM and network approach. Sustain. 2018;10(12). Mazumdar I, Agnihotri I. 7 Traversing Myriad Trails: Tracking Gender and Labour Migration across India. 2014;(December):123–51. Mun HW, Hua NC, Lin YJ, Sern FE. Determinants of Internal Migration for Tertiary Students: Structural Equation Modelling Study in Klang Valley, Malaysia. Asian Dev Policy Rev. 2022;10(2):133–45. Pietrzak MB, ?urek M, Matusik S, Wilk J. Application of Structural Equation Modeling for Analysing Internal Migration Phenomena in Poland. Przegl?d Stat. 2012;59(z. 4):487–503. John S. SOCIO-POLITICAL PROBLEMS IN INDIA WITH SPECIAL REFERENCE TO FARMERS’SUICIDE. 2006;15(04):11–6. Rajan SI, Keshri K, Deshingkar P. Understanding Temporary Labour Migration Through the Lens of Caste: India Case Study. IMISCOE Res Ser. 2023;Part F802:97–109. Pradesh U. Growth Prospects of Indian Infrastructure with developing Iron and Steel Sector. 2017;16(5):13–20. Muthusamy A, Jansi Rani P. FDI, GDP, and CO2 emission: ARDL bound cointegration relationship examination. Int J Recent Technol Eng. 2019;8(2 Special Issue 10). Rao S, Andini V. Modelling student migration to Karnataka for Higher Education using a partial least square structural equation model. High Educ Q. 2019;73(2):135–52. Shah A, Lerche J. Migration and the invisible economies of care: Production, social reproduction and seasonal migrant labour in India. Trans Inst Br Geogr. 2020;45(4):719–34. Temporin F. A multilevel structural equation modelling approach to study segregation of deprivation: an application to Bolivia. Qual Quant [Internet]. 2019;53(3):1657–74. Available from: https://doi.org/10.1007/s11135-018-00832-y Zanabazar A, Kho NS, Jigjiddorj S. The Push and Pull Factors Affecting the Migration of Mongolians to the Republic of South Korea. SHS Web Conf. 2021;90(March):01023. Wang Y, Su Y, Araral EK. Migration and collective action in the commons: application of social-ecological system framework with evidence from China. Ecol Soc. 2022;27(1). Black R, Adger WN, Arnell NW, Dercon S, Geddes A, Thomas DSG. The effect of environmental change on human migration §. Glob Environ Chang [Internet]. 2020;21(2011):S3–11. Available from: http://dx.doi.org/10.1016/j.gloenvcha.2011.10.001 Qarni A, Billah M, Hussain K, Shah SH, Ahmed W, Alam S, et al. Isolation and Characterization of Phosphate Solubilizing Microbes from Rock Phosphate Mines and Their Potential Effect for Sustainable Agriculture. Sustainability [Internet]. 2021 Feb 17;13(4):2151. Available from: https://www.mdpi.com/2071-1050/13/4/2151 Palit N, Chaudhuri A, Mishra N. Humanitarian management strategy for interstate movement of migrant workers in India during COVID-19 pandemic: an optimization based approach. Ann Oper Res [Internet]. 2025 May 14;348(3):1879–924. Available from: https://link.springer.com/10.1007/s10479-023-05199-4 Cheng C, Yu Y. Early Childhood Educators’ Practices in Education for Sustainable Development in China: Evidence from Shandong Province. Sustainability [Internet]. 2022 Feb 10;14(4):2019. Available from: https://www.mdpi.com/2071-1050/14/4/2019 Gupta P, Kumar S, Suman RR, Kumar V. Sentiment Analysis of Lockdown in India During COVID-19: A Case Study on Twitter. IEEE Trans Comput Soc Syst [Internet]. 2021 Aug;8(4):992–1002. Available from: https://ieeexplore.ieee.org/document/9301194/ Khan A, Arokkiaraj H. Challenges of reverse migration in India: a comparative study of internal and international migrant workers in the post-COVID economy. Comp Migr Stud [Internet]. 2021 Dec 3;9(1):49. Available from: https://comparativemigrationstudies.springeropen.com/articles/10.1186/s40878-021-00260-2 Vasudevan A, Rani PJ, Raja N, Nedumaran G, Arokiasamy ARA, Qian C. Fintech for sustainable agriculture: insights from Tamil Nadu, India. Front Sustain Food Syst [Internet]. 2025 Jul 22;9(July). Available from: https://www.frontiersin.org/articles/10.3389/fsufs.2025.1614553/full Jansi Rani P. Impact of Demonetization on Private Life Insurance Companies in India. IJSRR [Internet]. 2018(3):2178–86. Available from: www.ijsrr.org Jansi Rani P. International Journal of Scientific Research and Reviews Impact of Demonetization on Private Life Insurance Companies in India. IJSRR [Internet]. 2018(3):2178–86. Available from: www.ijsrr.org Li L, Cai X. Structural Equation Model Analysis of Urban Public Service Satisfaction. 2018;155(Ichssd 2017):66–73. Mahasamudram G. GLOBALISATION AND LABOUR MIGRATION FROM INDIA?: SOME ECONOMIC GLOBALISATION AND LABOUR MIGRATION FROM INDIA?: 2021;(July).