Sentiment Analysis Using Machine Learning of Unemployment Data in India

Author:

Tiwari Rudra,Sachdeva Jatin,Sahoo Ashok Kumar,Sarangi Pradeepta Kumar

Publisher

Springer Nature Singapore

Reference29 articles.

1. https://www.cmie.com/kommon/bin/sr.php?kall=warticle&dt=20220829141802&msec=860. Accessed on 28 Dec 2022

2. Pratibha GK, Kaur A, Khurana M (2022) A stem to stern sentiment analysis emotion detection. In: 2022 10th international conference on reliability, infocom technologies and optimization (trends and future directions) (ICRITO), Noida, India, pp 1–5. https://doi.org/10.1109/ICRITO56286.2022.9964967

3. Tiwari RG, Misra A, Ujjwal N (2022) Comparative classification performance evaluation of various deep learning techniques for sentiment analysis. In: 2022 8th international conference on signal processing and communication (ICSC), Noida, India, pp 304–309. https://doi.org/10.1109/ICSC56524.2022.10009471

4. Kaushik P (2020) Research report on Indian Unemployment scenario and its analysis of causes, trends and solutions. A project study submitted in partial fulfilment for the requirement of the two year (full-time) post-graduate diploma in management (2018–20)

5. Sinha P (2022) Combating youth unemployment in India, Academia. https://www.academia.edu/26001773/Combating_Youth_Unemployment_in_india. Accessed on 22 July 2022

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1. Machine learning-based Sentiment Analysis: A Comprehensive Review;2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS);2024-04-17

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