Leveraging Big Data for Sentiment Analysis: A Review of Techniques, Applications and Challenges

Author(s)	Poornima Shetty, Shashidhar Kini
Country	India
Abstract	Sentiment analysis, a subfield of natural language processing, plays a crucial role in understanding public opinion, customer feedback, and social media sentiment. With the advent of big data, sentiment analysis has witnessed significant advancements in terms of techniques and applications. This paper presents a comprehensive review of leveraging big data for sentiment analysis, focusing on the techniques, applications and challenges employed in the field.
Keywords	— Big data, Sentiment Analysis, Hadoop, Spark, Social Media
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 6, Issue 4, July-August 2024
Published On	2024-07-19
Cite This	Leveraging Big Data for Sentiment Analysis: A Review of Techniques, Applications and Challenges - Poornima Shetty, Shashidhar Kini - IJFMR Volume 6, Issue 4, July-August 2024. DOI 10.36948/ijfmr.2024.v06i04.24841
DOI	https://doi.org/10.36948/ijfmr.2024.v06i04.24841
Short DOI	https://doi.org/gt43tz

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