UGSD: User Generated Sentiment Dictionaries from Online Customer Reviews
نویسندگان
چکیده
منابع مشابه
Automatically Generated Online Dictionaries
The aim of our software presentation is to demonstrate that corpus-driven bilingual dictionaries generated fully by automatic means are suitable for human use. Need for such dictionaries shows up specifically in the case of lesser used languages where due to the low demand it does not pay off for publishers to invest into the production of dictionaries. Previous experiments have proven that bil...
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Online discussions, user reviews and comments on the Social Web are valuable sources of information about products, services, or shared contents. The rapidly growing popularity and activity of Web communities raises novel questions of appropriate aggregation and diversification of such social contents. In many cases, users are interested in gaining an extensive overview over pros and cons of a ...
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The aim of our software presentation is to demonstrate that corpus-driven bilingual dictionaries generated fully by automatic means are suitable for human use. Previous experiments have proven that bilingual lexicons can be created by applying word alignment on parallel corpora. Such an approach, especially the corpus-driven nature of it, yields several advantages over more traditional approach...
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Identifying customer needs is important to marketing strategy, product development, and marketing research. User-generated content (UGC) provides an opportunity to better identify customer needs for managerial impact. However, established methods are neither efficient nor effective for large UGC corpora because much content is non-informative and repetitive. We propose a machine-learning approa...
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ژورنال
عنوان ژورنال: Proceedings of the AAAI Conference on Artificial Intelligence
سال: 2019
ISSN: 2374-3468,2159-5399
DOI: 10.1609/aaai.v33i01.3301313