Overview
FrançaisABSTRACT
The expression of opinion is a central aspect of user-generated contents on the Web. It enables us to convey feelings, assessments of people, situations and objects, and to engage with other opinion holders. These contents may take various forms: blogs, fora, reviews, social media, etc. To deal with the variety and volume of these data, speci?c tools have to be designed to extract, summarize and compare opinions expressed on a given subject. This article surveys the main approaches in analysis focusing on three main questions: How can systems identify subjective spans in texts? How can they calculate the positivity or negativity of such spans? How can they accurately present the extracted opinions to end users?
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Read the articleAUTHOR
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Farah BENAMARA ZITOUNE: Senior lecturer in computer science at Paul Sabatier University, Toulouse, - Institut de Recherche en Informatique de Toulouse (IRIT), Toulouse, France
INTRODUCTION
Today, the Web has become an essential source of information, thanks to the quantity and diversity of textual content expressing the opinions of Internet users. This content is manifold: blogs, comments, forums, social networks, reactions or opinions, increasingly centralized by search engines. Given this abundance of data and sources, the development of tools to extract, synthesize and compare the opinions expressed on a given subject is becoming crucial. This type of tool is of considerable interest to companies seeking customer feedback on their products or brand image, as well as to individuals seeking information for a purchase, an outing or a trip.
It was in this context that opinion analysis (commonly known as sentiment analysis or opinion mining) was born. The first studies in automatic opinion mining date back to the late 1990s, with a particular focus on determining the polarity of adjectives in documents, i.e. whether the opinion conveyed by the adjectives is positive or negative. Since the 2000s, a large number of works have been published on the subject, making opinion extraction one of the most active fields in Automatic Language Processing (ALP)
The development of opinion analysis...
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KEYWORDS
natural language processing | opinion mining | information extraction | machine learning
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Bibliography
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Subjectivity lexicons
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Glossary for the English language
SentiWordnet : http://sentiwordnet.isti.cnr.it/
WordNetAffect : http://wndomains.fbk.eu/wnaffect.html
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