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Reseach Article

Sentiment Detection, Recognition and Aspect Identification

by Salma Faiz Alasmari, Mohammed Dahab
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 177 - Number 2
Year of Publication: 2017
Authors: Salma Faiz Alasmari, Mohammed Dahab
10.5120/ijca2017915675

Salma Faiz Alasmari, Mohammed Dahab . Sentiment Detection, Recognition and Aspect Identification. International Journal of Computer Applications. 177, 2 ( Nov 2017), 31-38. DOI=10.5120/ijca2017915675

@article{ 10.5120/ijca2017915675,
author = { Salma Faiz Alasmari, Mohammed Dahab },
title = { Sentiment Detection, Recognition and Aspect Identification },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2017 },
volume = { 177 },
number = { 2 },
month = { Nov },
year = { 2017 },
issn = { 0975-8887 },
pages = { 31-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume177/number2/28601-2017915675/ },
doi = { 10.5120/ijca2017915675 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:44:48.294876+05:30
%A Salma Faiz Alasmari
%A Mohammed Dahab
%T Sentiment Detection, Recognition and Aspect Identification
%J International Journal of Computer Applications
%@ 0975-8887
%V 177
%N 2
%P 31-38
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Sentiment analysis is the study of people’s opinions, attitudes, feelings, and emotions discuss any object such as entities, events, topics, product, issues, services, etc. are respected for extraction of useful subjective information out of the text. The task is challenging and considered for customers and producers, for instance, Customers need to have general ideas about products, and companies need to know customers’ needs and the opportunity to investigate and analyze those opinions towards their products and services. The increasing growth of the social network sites generating a big resource of social data. So, researchers considering about harnessing the effeteness of social media and sentiment analysis. These recent studies classified according to their contributions in the different SA methods. The main target of this paper is to give the illustration of the current trend of research in the sentiment analysis Detection, Recognition, Aspect Identification.

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Index Terms

Computer Science
Information Sciences

Keywords

Sentiment Analysis Sentiment Detection Sentiment Recognition Aspect identification Text Mining