Twitter Sentiment Analysis Using Python

Have you ever heard about the term 'Sentiment Analysis'? Okay, let us tell you Sentiment Analysis is concerned with the process of ‘computationally’ determining whether a piece of writing is positive, negative, or neutral. 

It can be considered as the sub-field of Natural Language Processing (NLP). It is also known as opinion mining, deriving the opinion or attitude of a speaker. 

It is being used for many purposes such as in the marketing domain to develop strategies for the businesses, to identify customers’ sentiments towards any products or platform, to monitor and analyze social phenomena, and many more. In a similar context, in this video, we're going to discuss how to perform Twitter Sentiment Analysis using Python. 

So, what we are going to do is the analysis of the top trending tweets and to do the same, here we will use several prominent Python libraries including NumPy, Pandas, Seaborn, Plotly, etc. 

To download the CSV File, Click on the following link - https://media.geeksforgeeks.org/wp-content/cdn-uploads/20210923101358/Twitter-Sentiment-Analysis-Using-Python.zip 

To know more, please refer to the article - https://www.geeksforgeeks.org/twitter-sentiment-analysis-using-python/