Analysis of Opinionated Text for Opinion Mining
نویسندگان
چکیده
منابع مشابه
Analysis of opinionated text for opinion mining
In sentiment analysis, the polarities of the opinions expressed on an object/feature are determined to assess the sentiment of a sentence or document whether it is positive/negative/neutral. Naturally, the object/feature is a noun representation which refers to a product or a component of a product, let’s say, the "lens" in a camera and opinions emanating on it are captured in adjectives, verbs...
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In addition to the positive and negative sentiments expressed by speakers, opinions on the web also convey suggestions. Such text comprise of advice, recommendations and tips on a variety of points of interest. We propose that suggestions can be extracted from the available opinionated text and put to several use cases. The problem has been identified only recently as a viable task, and there i...
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This paper tackles the problem of polar vocabulary ambiguity. While some opinionated words keep their polarity in any context and/or across any domain (except for the ironic style that goes beyond the present article), some other have an ambiguous polarity which is highly dependent of the context or the domain: in this case, the opinion is generally carried by complex expressions (“patterns”) r...
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Rapid development of the Internet has lead to the purchase of products based on the reviews provided by the web surfers. It is therefore extremely important to organize the reviews according to the topic. Commonly, this can be achieved by using clustering techniques. Research on document clustering which is an un-supervised from of learning process helps in organizing documents or text reviews ...
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We argue in this paper that in order to properly capture opinion and sentiment expressed in texts or dialogs any system needs a deep linguistic processing approach. As in other systems, we used ontology matching and concept search, based on standard lexical resources, but a natural language understanding system is still required to spot fundamental and pervasive linguistic phenomena. We impleme...
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ژورنال
عنوان ژورنال: Machine Learning and Applications: An International Journal
سال: 2016
ISSN: 2394-0840
DOI: 10.5121/mlaij.2016.3206