Swapnajit Chakraborti

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Publications (14)

• Employment tenure prediction for Indian IT professionals using linkedin network data and machine learning based techniques
  Discover Analytics 2025 DOI: 10.1007/s44257-025-00052-3
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• Decoding Flipkart-Walmart Merger: An Empirical Analysis of News using Theme Extraction, Sentiment Mining, for Indian M&A Insights
  2025 9th International Conference on Computing, Communication, Control and Automation (ICCCBEA) 2025 DOI: 10.1109/iccubea65967.2025.11284272
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• Integrating Weather Data to Improve House Price Prediction Accuracy of Machine Learning Models: Evidence and Implications
  2025 9th International Conference on Computing, Communication, Control and Automation (ICCCBEA) 2025 DOI: 10.1109/iccubea65967.2025.11283836
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• A comparative study of bitcoin price prediction during pre-Covid19 and whilst-Covid19 period using time series and machine learning models
  Discover Analytics 2024 DOI: 10.1007/s44257-024-00024-z
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• A Comparative Study of Online Consumer Reviews Among Mainstream and Niche Products
  International Journal of Business Analytics 2024 DOI: 10.4018/ijban.353306
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• Analysis of employee perception of employer brand: a comparative study across business cycles using structural topic modelling
  Journal of Business Analytics 2023 DOI: 10.1080/2573234X.2022.2104663
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• A comparative study of online consumer reviews of Apple iPhone across Amazon, Twitter and MouthShut platforms
  Electronic Commerce Research 2020 DOI: 10.1007/s10660-020-09429-w
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• Analysis of book sales prediction at Amazon marketplace in India: a machine learning approach
  Information Systems and e-Business Management 2019 DOI: 10.1007/s10257-019-00438-3
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• Analysis of Competitor Intelligence in the Era of Big Data: An Integrated System Using Text Summarization Based on Global Optimization
  Business & Information Systems Engineering 2019 DOI: 10.1007/s12599-018-0562-0
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• Multi-level K-means text clustering technique for topic identification for competitor intelligence
  2016 IEEE Tenth International Conference on Research Challenges in Information Science (RCIS) 2016 DOI: 10.1109/rcis.2016.7549332
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