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AN OPINION MINING AND SENTIMENT ANALYSIS
TECHNIQUES INVOLVING SOCIAL MEDIA:
CHALLENGES AND APPLICATIONS
Ms. Latha S S,
Assistant Professor, Department of Information Science & Engineering,
MVJ College of Engineering, Bengaluru, INDIA
ABSTRACT:
Sentiment Analysis (SA) is an on-going field of research in text mining field. Sentiment Analysis is a Process of
finding out extracting experiences and emotions from the given dataset. The two expressions Sentiment Analysis
or opinion mining are interchangeable. They express a mutual meaning.By using sentiment analysis on the
reviews of the customer in an e-commerce websites and enterprises can place a major change in the decision
making process.There are different procedures while making a sentiment analyser, Data Collection, data pre-
processing,Frequency computation,feature extraction and training with an algorithm are some of the steps
involved in the methodology. The main target of this survey is to give nearly full image of various challenges
while making a sentiment analyser and we are going to survey different techniques on sentiment analysis. Naive
Bayes and Support Vector Machine are the mostly used classifiers Further we discuss various challenges in
sentiment analysis.
Keywords: Lexicon based approach, Naive Bayes, Opinion Mining, Sentiment Analysis, Sentiment
Analyser and Support Vector Machine.
I. INTRODUCTION
Businesses and consumers buying and selling products in online refers to the E-commerce. The most of the e-
commerce websites sell products to the public directly. A review refers to the evaluation of a service,
publication, review of movies, video game review, review of a music composition or music recording, book
review, hardware piece like a car or computer, performance of a event, such as a live music concert, play,
musical theater show, dance show, or exhibition of a art .People often take reviews from their friends or
relatives who have bought the product before buying it. In today’s time reviews and ratings of the products plays
major role to generate opinion. To handle these problems Sentiment Analysis is used. Emotions of a sentence
can easily understand using sentiment analysis.
Data mining is an integrative part of computer science. It is the gauge process of searching patterns in data sets
involving methods at the junction of artificial intelligence, statistics, machine learning, and database systems.
The total goal of the sentiment analysis process is to extract information from a data set and convert it into a
suitable structure for further use. Opinion mining or sentiment analysis is to extract and classify the people’s
