Optimization of Cross Domain Sentiment Analysis Using Sentiwordnet
نویسندگان
چکیده
منابع مشابه
Optimization Of Cross Domain Sentiment Analysis Using Sentiwordnet
The task of sentiment analysis of reviews is carried out using manually built / automatically generated lexicon resources of their own with which terms are matched with lexicon to compute the term count for positive and negative polarity. On the other hand the Sentiwordnet, which is quite different from other lexicon resources that gives scores (weights) of the positive and negative polarity fo...
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In this paper, a new kind of domain specific feature-based heuristic for sentiment analysis of movie reviews using aspect-level is presented. The unsupervised learning technique for sentiment classification is used. The SentiWordNet based scheme using two different linguistic feature selections containing adjectives, adverbs and verbs and n-gram feature extraction is performed. In aspect orient...
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Sentiment analysis is the procedure by which information is extracted from the opinions, appraisals and emotions of people in regards to entities, events and their attributes. In decision making, the opinions of others have a significant effect on customers ease in making choices regards to online shopping, choosing events, products, entities. In this paper, a rule based domain independent sent...
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Assigning a positive or negative score to a word out of context (i.e. a word’s prior polarity) is a challenging task for sentiment analysis. In the literature, various approaches based on SentiWordNet have been proposed. In this paper, we compare the most often used techniques together with newly proposed ones and incorporate all of them in a learning framework to see whether blending them can ...
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ژورنال
عنوان ژورنال: International Journal in Foundations of Computer Science & Technology
سال: 2013
ISSN: 1839-7662
DOI: 10.5121/ijfcst.2013.3504