In this paper, we describe the participation of the SentiME++ system to the SemEval 2017 Task 4A “Sentiment Analysis in Twitter” that aims to classify whether English tweets are of positive, neutral or negative sentiment. SentiME++ is an ensemble approach to sentiment analysis that leverages stacked generalization to automatically combine the predictions of five state-of-the-art sentiment class...

In this paper, we describe the participation of the SentiME++ system to the SemEval 2017 Task 4A “Sentiment Analysis in Twitter” that aims to classify whether English tweets are of positive, neutral or negative sentiment. SentiME++ is an ensemble approach to sentiment analysis that leverages stacked generalization to automatically combine the predictions of five state-of-the-art sentiment class...

Automated citation sentiment analysis is a newly emerged research topic inspired by traditional citation context analysis in scientometrics and applied linguistics. The main goals of current citation sentiment analysis are to develop new tools to model scientific literature and provide authoring support for researchers in tasks like literature review. In terms of developing authoring support to...

Traditional sentiment analysis often uses sentiment dictionary to extract sentiment information in text and classify documents. However, emerging informal words and phrases in user generated content call for analysis aware to the context. Usually, they have special meanings in a particular context. Because of its great performance in representing inter-word relation, we use sentiment word vecto...

sentiment analysis aim to get the underlying viewpoint of text which could be opinion, online review, movie rating comments etc. the aim of this project is to offer better sentiment text analysis strategy which recognize the polarity of text message including positive, negative, and neutral using sentiwordnet. The contribution of this paper is use POS(parts of speech) tagger to examine specific...

We conclude this report with a system design and proof-of-concept to show how an adaptable hybrid sentiment classification system is able to improve sentiment analysis for organisations. GreenOnline, a service company in the field of customer services, wants to be able to quantify sentiment for organisations precisely, to create new services for organisations. To start with, this sentiment anal...

Mike Thelwall, Kevan Buckley, Georgios Paltoglou Statistical Cybermetrics Research Group, School of Technology, University of Wolverhampton, Wulfruna Street, Wolverhampton WV1 1SB, UK. E-mail: [email protected], [email protected], [email protected] Tel: +44 1902 321470 Fax: +44 1902 321478 Sentiment analysis is concerned with the automatic extraction of sentiment-related information ...

The paper gives a detailed report of the concept-sentiment analysis and its usage. It explains the various real world applications of sentiment analysis along with the workflow that describes the execution of this analysis. The recent techniques used in the analysis have been described briefly and the appropriate performance metrics have been applied to them. The paper enlightens the need of se...

This paper deals with a double-implicit problem in opinion mining and sentiment analysis. We aim at identifying aspects and polarities of opinionated statements not consisting of opinion words and aspect terms. As a case study, opinion words and aspect terms are first extracted from Chinese hotel reviews, and then grouped into positive (negative) clusters and aspect term clusters. We observe th...