Twitter Sentimental Analysis Using Python

Author(s)	Abhay Kumar Shukla, Vishap Gautam, Sanjay Kumar Sharma
Country	India
Abstract	Social media websites have Emerged as one of the platforms to raise users’ opinions and influence the way any business is commercialized. Opinion of people matters a lot to Analysis how the propagation of information impacts the lives in a large-scale network like Twitter. Sentiment analysis of the tweets determine the polarity and inclination of vast population towards specific topic, item or entity. These days, the applications of such analysis can be easily observed during public elections, movie promotions, brand endorsements and many other fields. In this project, we exploited the fast and in memory computation framework 'Apache Spark' to extract live tweets and perform sentiment analysis. The primary aim is to provide a method for Analysis sentiment score in noisy twitter streams. This paper reports on the design of a sentiment analysis, extracting vast number of tweets.
Keywords	BIG DATA, SOCIAL MEDIA
Field	Engineering
Published In	Volume 5, Issue 3, May-June 2023
Published On	2023-05-21
Cite This	Twitter Sentimental Analysis Using Python - Abhay Kumar Shukla, Vishap Gautam, Sanjay Kumar Sharma - IJFMR Volume 5, Issue 3, May-June 2023. DOI 10.36948/ijfmr.2023.v05i03.3155
DOI	https://doi.org/10.36948/ijfmr.2023.v05i03.3155
Short DOI	https://doi.org/gr9r33

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9898-5948-55	editor@ijfmr.com

International Journal For Multidisciplinary Research