Sentiment Analysis of Twitter data using four machine learning algorithm in python
Sentiment Analysis of Twitter data using four machine leaarning algorithm PROJECT ID: PYTHON25 PROJECT NAME: Sentiment Analysis of Twitter data using four machine learning algorithm PROJECT CATEGORY: MCA / BCA / BCCA / MCM / POLY / ENGINEERING PROJECT ABSTRACT: Sentiment analysis is the automated process of analyzing text data and sorting it into sentiments positive, negative, or neutral. Using sentiment analysis tools to analyze opinions in Twitter data can help companies understand how people are talking about their brand. Twitter boasts 330 million monthly active users, which allows businesses to reach a broad audience and connect with customers without intermediaries. On the downside, there’s so much information that it’s hard for brands to quickly detect negative social mentions that could harm their business. This is why social listening, which involves monitoring conversations on social med...