DocumentCode :
3660792
Title :
The Senti Strength Calculator: Engineering the Sentiment from the Opinionated Text
Author :
Deepak Thakur;Tanya Gera;Jaiteg Singh
Author_Institution :
Sch. of Comput. Sci., Chitkara Univ., Rajpura, India
fYear :
2015
fDate :
4/1/2015 12:00:00 AM
Firstpage :
1103
Lastpage :
1108
Abstract :
Sentiment analysis is the study of classifying human´s sentiments, evaluations, attitudes, opinions about some topic, expressed in form of text or speech. It is said that information is transmitting every time in the universe. The mode for the same can be anything, whether in writing, speaking, performing actions, etc. When someone writes about something, there is something more than just a text, is associated with it. Many people express their opinion about products by writing reviews, helping others to take decision. We may find numerous of reviews on e-commerce sites. Reading every review manually is a time consuming process. Thus, a automated approach is needed which can classify the reviews into desired classes. The intended work is to capture that important information from the unstructured text. The goal is to derive the qualitative sentiment analysis from the reviews. The work proposed a system known as senti strength calculator. The senti strength calculator is capable of engineering the sentiment from the opinionated text. The proposed system aims at finding the sentiment score of the review and extracting the features which have been commented upon by the opinion holders. The FCL (features counting lattice) will be generated which will determine the popular aspects and efficient ranking among the aspects can be deduced. The relative comparison among the products can be performed based on the opinions.
Keywords :
"Feature extraction","Sentiment analysis","Lattices","Calculators","Semantics","Classification algorithms","Algorithm design and analysis"
Publisher :
ieee
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2015 Fifth International Conference on
Type :
conf
DOI :
10.1109/CSNT.2015.136
Filename :
7280091
Link To Document :
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