Sentiment Strength Detection in Short Informal Text
نویسندگان
چکیده
Mike Thelwall, Kevan Buckley, Georgios Paltoglou, Di Cai Statistical Cybermetrics Research Group, School of Computing and Information Technology, University of Wolverhampton, Wulfruna Street, Wolverhampton WV1 1SB, UK. E-mail: [email protected], [email protected], [email protected], [email protected] Tel: +44 1902 321470 Fax: +44 1902 321478 Arvid Kappas School of Humanities and Social Sciences, Jacobs University Bremen, Campus Ring 1, 28759 Bremen, Germany E-mail: [email protected] Tel: +49 421 200-3441
منابع مشابه
Opinion Mining on Non-English Short Text
As the type and the number of such venues increase, automated analysis of sentiment on textual resources has become an essential data mining task. In this paper, we investigate the problem of mining opinions by extracting aspects of entities on the collection of informal short texts. Both positive and negative sentiment strength of texts are detected. We focus on a non-English language that has...
متن کاملUsing Machine Learning Algorithms for Automatic Cyber Bullying Detection in Arabic Social Media
Social media allows people interact to express their thoughts or feelings about different subjects. However, some of users may write offensive twits to other via social media which known as cyber bullying. Successful prevention depends on automatically detecting malicious messages. Automatic detection of bullying in the text of social media by analyzing the text "twits" via one of the machine l...
متن کاملSentiment Analysis of Short Informal Texts
We describe a state-of-the-art sentiment analysis system that detects (a) the sentiment of short informal textual messages such as tweets and SMS (message-level task) and (b) the sentiment of a word or a phrase within a message (term-level task). The system is based on a supervised statistical text classification approach leveraging a variety of surfaceform, semantic, and sentiment features. Th...
متن کاملEmotive Ontology: Extracting Fine-grained Emotions from Terse, Informal Messages
With the uptake of social media, such as Facebook and Twitter, there is now a vast amount of new user generated content on a daily basis, much of it in the form of short, informal free-form text. Businesses, institutions, governments and law enforcement organisations are now actively seeking ways to monitor and more generally analyse public response to various events, products and services. Our...
متن کاملOn Evaluating the Contribution of Text Normalisation Techniques to Sentiment Analysis on Informal Web 2.0 Texts∗ Evaluación de la Contribución de la Normalización al Análisis de Sentimiento en Textos Informales de la Web 2.0
The writing style used in social media usually contains informal elements that can lower the performance of Natural Language Processing applications. For this reason, text normalisation techniques have drawn a lot of attention recently when dealing with informal content. However, not all the texts present the same level of informality and may not require additional pre-processing steps. Therefo...
متن کامل