Classification of Opinion Mining Techniques

Mishra, Nidhi; Jha, C. K.

doi:10.5120/8948-3122

Cited by 50 publications

(18 citation statements)

References 19 publications

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“…Roth et al [9] have compared the synopsis of different approaches used for sentiment analysis. Nidhi Mishra et al [12] proposed the inner view of sentiment analysis at different levels David Osimo et al [2] proposed an outline for a new Research Challenge on Sentiment Analysis. Sindhu, Chandrakala et al [8] proposed a systematic flow and Machine learning approaches to optimize the performance.…”

Section: Literature Overviewmentioning

confidence: 99%

“…It gives positive or negative sentiment about the product directly [12]. For example, "The food quality of this hotel is poor" expresses a direct opinion.…”

Section: Direct Opinionsmentioning

confidence: 99%

“…It means to compare the subject with any other similar objects [12]. For example, "The food quality of the hotel-a is better than that of hotel-b."…”

Section: Comparisonmentioning

confidence: 99%

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A Study on Sentiment Analysis: Methods and Tools

2015

IJSR

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Abstract:The purpose of social media has created many chances for people to publicly voice their beliefs, simply when they are employed to deliver an opinion hit a vital problem. Sentiment Analysis is a case of natural language processing which could mark the mood of the people about any specific product by analysis. Sentiment Analysis is a process of automatic extraction of features by mode of notions of others about specific product, services or experience. The Sentiment Analysis tool is to function on a series of expressions for a given item based on the quality and features. Sentiment analysis is also called Opinion mining due to the significant volume of opinion. Analyzing customer opinion is very important to rate the product. To automate rate the opinions in the form of unstructured data is been a challenging problem today. Thus, this paper discusses about Sentiment analysis methods and tools used.

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Section: Literature Overviewmentioning

confidence: 99%

“…It gives positive or negative sentiment about the product directly [12]. For example, "The food quality of this hotel is poor" expresses a direct opinion.…”

Section: Direct Opinionsmentioning

confidence: 99%

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A Study on Sentiment Analysis: Methods and Tools

2015

IJSR

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“…Users express their views and opinions regarding products and services. These opinions are subjective information which represents user's sentiments, feelings or appraisal related to the same [21] .Web is widely used to interact with each other and to express different things as posting reviews of product, movies, etc., that means web users giving their own opinions. These opinions or reviews have importance in both users and vendors application.…”

Section: Prior Studiesmentioning

confidence: 99%

Opinion Mining and Review Spam Detection: Issues and Challenges

Algur¹,

Biradar²

2017

IJARCSSE

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Abstract-Public opinions and experience are valuable information in decision making process. Opinions may be sensitive since they may reflect one's perspective, understanding, particular feelings, way of life, and desires. Several websites encourage users to express and exchange their views, suggestions and opinions related to product, services, polices, etc. With the development of internet, people are more likely to express their views and opinions on eCommerce sites, forums and blogs and are able to interact intensively with the internet. Product reviews composed collaboratively by many independent internet reviewers can help consumers make purchase decisions and enable enterprises to improve their business strategies. As the number of reviews is increasing exponentially, opinion mining and retrieval techniques are needed to identify important reviews and opinions to answer users queries. Most opinion mining and retrieval approaches try to extract sentimental or bipolar expressions from a large volume of reviews. It is well-known that many online reviews are not written by genuine users of products, but by spammers who write fake reviews to promote or demote some target products. Therefore, this paper presents a review of literatures that discusses about essentials of spam and review spam and brief conceptualization of opinion review mining from data mining perspective. The study finally discusses the application areas, research challenges and research scope explored from the open issues in this area.

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“…Other works do not use bag of words but rather different approaches such as graph-based techniques for tweet classification [6], while in this case the work do not focus on opinion mining but rather topic detection. In the recent years, several surveys summarizing the most relevant techniques and contributions have been published [23,25,42,16].…”

Section: Related Workmentioning

confidence: 99%

OpinAIS: An Artificial Immune System-based Framework for Opinion Mining

Gómez¹,

Mingueza²,

Pozo³

2015

IJIMAI

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-This paper proposes the design of an evolutionary algorithm for building classifiers specifically aimed towards performing classification and sentiment analysis over texts. Moreover, it has properties taken from Artificial Immune Systems, as it tries to resemble biological systems since they are able to discriminate harmful from innocuous bodies (in this case, the analogy could be established with negative and positive texts respectively). A framework, namely OpinAIS, is developed around the evolutionary algorithm, which makes it possible to distribute it as an open-source tool, which enables the scientific community both to extend it and improve it. The framework is evaluated with two different public datasets, the first involving voting records for the US Congress and the second consisting in a Twitter corpus with tweets about different technology brands, which can be polarized either towards positive or negative feelings; comparing the results with alternative machine learning techniques and concluding with encouraging results. Additionally, as the framework is publicly available for download, researchers can replicate the experiments from this paper or propose new ones.

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Classification of Opinion Mining Techniques

Cited by 50 publications

References 19 publications

A Study on Sentiment Analysis: Methods and Tools

A Study on Sentiment Analysis: Methods and Tools

Opinion Mining and Review Spam Detection: Issues and Challenges

OpinAIS: An Artificial Immune System-based Framework for Opinion Mining

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