سند علمی

Supervised Opinion Mining Techniques: A Survey

چکیده

Opinions play a very important role for human beings. Whenever a decision has been taken, opinions of others are also considered. Nowadays millions of web-users express their opinions about many topics through blogs, chats and social networks. Businesses and organizations always want to find consumer or public opinions about their products and services. In e-commerce and e-tourism, it is very important to automatically analyze the huge amount of social information available on the Web; therefore, it has become important to develop methods of automatically classifying them. Opinion Mining or Sentiment Analysis is the mining of attitudes, opinions, and emotions automatically from text, speech, and database sources through Natural Language Processing (NLP). This survey paper gives an overview of the supervised techniques that classify the opinions as positive or negative.

اسناد مشابه

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    In recent years, the spectacular development of web technologies, lead to an enormous quantity of user generated information in online systems. This large amount of information on web platforms make them viable for use as data sources, in applications based on opinion mining and

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    With the evolution of web technology, there is a huge amount of data present in the web for the internet users who uses almost every available data for one to another usage in their day to day life. These users not only use data but also give their opinion in the form of feedback

  • Opinion Mining: A Survey

    سند علمی۲۰۱۵Anu Maheshwari, Anjali Dadhich

    In the last few years as the growth & use of Internet increases and share of user’s opinions increases, the inspiration towards opinion mining also increases. When person wants to conduct some research or making day to day decisions, he has to depend on other people’s opinions. W

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    سند علمی۲۰۱۲Nidhi Mishra

    The important part to gather the information is always seems as what the people think. The growing availability of opinion rich resources like online review sites and blogs arises as people can easily seek out and understand the opinions of others. Users express their views and o

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    The present work describes a classification schema for irony detection in Greek political tweets. Our hypothesis states that humorous political tweets could predict actual election results. The irony detection concept is based on subjective perceptions, so only relying on human-a

  • CBSEAS, a Summarization System - Integration of Opinion Mining Techniques to Summarize Blogs

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    In this paper, we present a novel approach for automatic summarization. Our system, called CBSEAS, integrates a new method to detect redundancy at its very core, and produce more expressive summaries than previous approaches. Moreover, we show that our system is versatile enough