SENTIMENT ANALYSIS ON TWITTER DATASET USING NLP
International Research Journal of Modernization in Engineering Technology and Science · 2023
Twitter provides firms with a quick and effective approach to examine consumers' viewpoints on crucial market success factors.Creating a sentiment analysis software is a method for measuring consumers' perceptions computationally.This paper illustrates the evolution of a sentiment analysis that extracts sentiment over an immense quantity of tweets.This development employs prototyping.With the birth and expansion of online technology, there is a tremendous volume of content available on the web for internet users.Furthermore, a great volume of data is produced.The internet has transformed into an important asset.Social networking services such as Twitter, Facebook, and Google+ are rapidly rising in popularity because they allow users to chat and share their thoughts on a wide range of subjects with diverse groups, or to send messages all over the world.There has been a large amount of study on the issue of sentiment analysis of Twitter data.This survey mostly focuses on sentiment analysis.Twitter data that may be used to examine information from disorganized tweets that are different and either favorable or negative.