ISSN : 2319-7323

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE ENGINEERING

ABSTRACT

Title	:	A SURVEY ON TEXT CLASSIFICATIONS IN REVIEW ANALYSIS
Authors	:	AATHIRA R., VIJU P. POONTHOTTAM
Keywords	:	Text Classification; Review analysis; SentiWordNet classifier; Senti-Lexicon Algorithm; Naïve Bayes Classifier.
Issue Date	:	Mar-Apr 2018
Abstract	:	With the swift development of digital photography and the wide-spread popularity of social networks, it has become more common that people share their life experiences and opinions using images and videos together with text. Many kinds of research on the analysis of multimedia are been greatly motivated and promoted by the rapidly growing online social media data, which has, in turn, improved the social media by increasing its usage for wide applications, ranging from marketing to election forecasts. Analyzing reviews available on the internet has been helpful for businesses to understand the public opinion and to make necessary improvements. The review analysis undergoes various steps- data acquisition, pre-processing, feature extraction, classification, and summarization. Text classification phase, the most important among them can be implemented by different approaches. This paper provides an overview of the three different approaches for text classification and conducts a comparative study to find the best among them.
Page(s)	:	49-53
ISSN	:	2319-7323
Source	:	Vol. 7, No. 2