Happiness Index Study
A study on sentiment analysis of Indian Student Happiness Index of various Indian States via Twitter
The project titled “A Study on Sentiment Analysis of Indian Student Happiness Index via Twitter” focuses on exploring and analyzing the sentiment trends among Indian students across various states using Twitter data. The methodology involved the collection of location-based tweets related to educational institutions and students’ experiences via Apify service. Following data collection, preprocessing and feature engineering were conducted to prepare the data for sentiment analysis. Utilizing Roberta sentiment analysis model, the tweets were classified into negative, neutral, and positive sentiments. The project culminated in the computation of an overall happiness index for each Indian state based on the sentiment values derived. This study contributes to understanding the sentiments and experiences of Indian students on social media platforms, potentially aiding in policy formulation and academic support initiatives.
Keywords: : Python, Natural Language Processing, Sentiment Analysis, Data Scraping, Data Analysis, RoBERTA