Manuscript Number : CSEIT183777
A Survey On Opinion Mining and Sentiment Analysis Using R - Programming
Authors(1) :-Sravani S An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people now can, and do, actively use information technologies to seek out and understand the opinions of others. Sentiment analysis (also known as opinion mining) refers to the use of natural language processing (NLP), text analysis and computational linguistics to identify and extract subjective information from the source materials .The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at least in part as a direct response to the surge of interest in new systems that deal directly with opinions as a first-class object. Generally speaking, sentiment analysis aims to determine the attitude of a writer or a speaker with respect to a specific topic or the overall contextual polarity of a document. Globally, business enterprises can leverage opinion polarity and sentiment topic recognition to gain deeper understanding of the drivers and the overall scope. Subsequently, these insights can advance competitive intelligence and improve customer service, thereby creating a better brand image and providing a competitive edge.
Sravani S Natural Language Processing, Opinion Mining Publication Details Published in : Volume 3 | Issue 7 | September-October 2018 Article Preview
Assistant Professor, Department of Computer Applications, K.B.N College, P.G Centre, Vijayawada, Andhra Pradesh, India
Date of Publication : 2018-10-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 375-383
Manuscript Number : CSEIT183777
Publisher : Technoscience Academy