Opinion Mining Using Fuzzy String Searching
نویسندگان
چکیده
منابع مشابه
Semantic and Fuzzy Aspects of Opinion Mining
In recent years the amount of opinions and reviews available on the web has grown tremendously and therefore the role of sentiment analysis is even more crucial than before. Given the very ambiguous and imprecise nature of sentiments and of their expressions, this study focuses on the review of semantic and fuzzy aspects of opinion mining. Opinions are fuzzy in nature and dealing with the seman...
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This paper deals with lexical resources applied for opinion mining – the identification and extraction of opinions from free texts. Opinion mining comprises the segmentation of documents, passages, sentences, or phrases to objective (factual) and subjective parts, and the evaluation of the subjective attitude toward a given fact. We briefly introduce an automatic system that was designed to cra...
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As the internet and its applications are growing, E-commerce has become one of its rapid applications. Customers of E-commerce were provided with the opportunity to express their opinion about the product on the web as a text in the form of reviews. In the previous studies, mere founding sentiment from reviews was not helpful to get the exact opinion of the review. In this paper, we have used A...
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This paper is about the modification of KMP (Knuth, Morris and Pratt) algorithm for string searching of Chinese text. The difficulty is searching through a text string of singleand multi-byte characters. We showed that proper decoding of the input as sequences of characters instead of bytes is necessary. The standard KMP algorithm can easily be modified for Chinese string searching but at the w...
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ژورنال
عنوان ژورنال: IJARCCE
سال: 2015
ISSN: 2278-1021
DOI: 10.17148/ijarcce.2015.44121