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What is Opinion Mining

Chapter 28
Handbook of Research on Instructional Systems and Educational Technology
Opinion mining also known as Sentiment analysis refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials. Sentiment analysis is widely applied to reviews and social media for a variety of applications, ranging from marketing to customer service. The aim of sentiment analysis is to determine the attitude of a speaker or a writer with respect to some topic or the overall contextual polarity of a document. The attitude may be his or her judgment or evaluation, affective state i.e. the emotional state of the author when writing, or the intended emotional communication i.e. the emotional effect the author wishes to have on the reader.
Published in Chapter:
Using the Flipped Classroom to Improve Knowledge Creation of Master's-Level Students in Engineering
Sachin Ahuja (Chitkara University Research and Innovation Network, India)
Copyright: © 2017 |Pages: 14
DOI: 10.4018/978-1-5225-2399-4.ch028
Abstract
Student engagement in traditional teacher centered model of teaching is limited to independent working or working in a small group on a task designed by the teacher. Flipped classroom is a blended learning strategy that reverses the traditional educational arrangement by delivering instructional content, often online, outside of the classroom and moves activities, including those that may have traditionally been considered homework, into the classroom. Various studies support and recommend flipped model of teaching at graduate and undergraduate level but very less have analyzed the impact of flipped classroom on academic performance and especially knowledge creation at post graduate level. In this paper we are analyzing the performance and knowledge creation of master's level students using Data Mining Techniques in a flipped classroom model.
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Chapter 6
Big Data Analytics Tools and Platform in Big Data Landscape
This is method of collecting opinions of different people on website in documented format.
Published in Chapter: Big Data Analytics Tools and Platform in Big Data Landscape; From: Handbook of Research on Pattern Engineering System Development for Big Data Analytics
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Chapter 23
Information Extraction from Blogs
The detection of the opinion or subjective assessment in a certain medium (mostly text) where the opinion is usually expressed towards a certain entity or an entity’s attribute; possibly the aggregation of the found opinions into a score that reflects the opinion of a community.
Published in Chapter: Information Extraction from Blogs; From: Handbook of Research on Web Log Analysis
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Chapter 12
Improving Customer Experience Using Sentiment Analysis in E-Commerce
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Chapter 15
Machine Learning Applications in Mega-Text Processing
an automatic and semi-automatic search for expressed opinions in texts.
Published in Chapter: Machine Learning Applications in Mega-Text Processing; From: Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques
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Chapter 185
Text Mining
Opinion mining or Sentiment Analysis means finding and classifying opinionated parts of texts. These subjective parts need to by identified by Text Mining methods and separated from objective text parts. A technique typically applied is the search for words which express opinion.
Published in Chapter: Text Mining; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 30
Opinion Mining and Information Retrieval: Techniques for E-Commerce
Opinion mining is a process of information retrieval, which is concerned not with the topic, a document is about, but with the opinion it expresses.
Published in Chapter: Opinion Mining and Information Retrieval: Techniques for E-Commerce; From: Handbook of Research on Ambient Intelligence and Smart Environments: Trends and Perspectives
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Chapter 9
NLP Techniques and Challenges to Process Social Media Data
Opinion mining is an approach in NLP that tries to infer information about the emotions embedded in the text.
Published in Chapter: NLP Techniques and Challenges to Process Social Media Data; From: Advanced Applications of NLP and Deep Learning in Social Media Data
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Chapter 22
Ranking of Cloud Services Using Opinion Mining and Multi-Attribute Decision Making: Ranking of Cloud Services Using Opinion Mining and MADM
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Chapter 7
Estimating Importance From Web Reviews Through Textual Description and Metrics Extraction
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Chapter 3
Using Big Data Opinion Mining to Predict Rises and Falls in the Stock Price Index
The computational techniques used to extract, classify, understand, and assess the opinions expressed in various online news sources, social media comments, and other user-generated content.
Published in Chapter: Using Big Data Opinion Mining to Predict Rises and Falls in the Stock Price Index; From: Handbook of Research on Organizational Transformations through Big Data Analytics
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