Open AccessSentiment Classification System of Twitter Data using Python
Author(s) -
G. Balaji,
Rashmita Khilar
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.f7348.038620
Subject(s) - sentiment analysis , computer science , python (programming language) , social media , globe , world wide web , destinations , information retrieval , data science , advertising , tourism , artificial intelligence , geography , business , psychology , archaeology , neuroscience , operating system
Social media has developed drastically over the years. These days, individuals from all around the globe utilize online networking destinations to share data and information. Twitter is a well known communication site where users update information or messages known as tweets. Users share their day by day lives, post their opinions on everything, for example, brands and places. Various purchasers and advertisers utilize these tweets to accumulate bits of knowledge of their items and opinions on them. The aim of this paper is to exhibit a model that can perform sentiment analysis of real-time data collected from twitter and classify the tweets into positive, negative or neutral based on the sentiment expressed in them.