Mining Opinion in Online Messages

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Mining Opinion in Online Messages

The number of messages that can be mined from online entries increases as the number of online application users increases. In Malaysia, online messages are written in mixed languages known as ‘Bahasa Rojak’. Therefore, mining opinion using natural language processing activities is difficult. This study introduces a Malay Mixed Text Normalization Approach (MyTNA) and a feature selection techniq...

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Online customer reviews is considered as a significant informative resource which is useful for both potential customers and product manufacturers. In web pages, the reviews are written in natural language and are unstructured-free-texts scheme. The task of manually scanning through large amounts of review one by one is computational burden and is not practically implemented with respect to bus...

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Opinion Mining in Online Reviews About Distance Education Programs

The popularity of distance education programs is increasing at a fast pace. En par with this development, online communication in fora, social media and reviewing platforms between students is increasing as well. Exploiting this information to support fellow students or institutions requires to extract the relevant opinions in order to automatically generate reports providing an overview of pro...

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opinion mining in persian language

rapid growth of networks and social networks results in more access to people’s opinion. these opinions contain useful information. by analyzing these opinions, people’s preferences and their positive and negative opinions about different subjects can be identified. opinion mining is the process of analyzing people’s emotions, feelings and opinions to identify their preferences. in this article...

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ژورنال

عنوان ژورنال: International Journal of Advanced Computer Science and Applications

سال: 2013

ISSN: 2158-107X,2156-5570

DOI: 10.14569/ijacsa.2013.040804