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Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 23 for “"Opinion Mining"”.
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General unsupervised explanatory opinion mining from text data
Due to the abundance and rapid growth of opinionated data on the Web, research on opinion mining and summarization techniques has received a lot of attention from industry and academia. Most previous studies on opinion summarization have focused on predicting sentiments of entities and aspect-based …
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Advancing NLP Frontiers in Information Extraction, Opinion Mining, and Text Synthesis
… spanning three pillars: information extraction, opinion mining, and text synthesis, where each stage builds upon the previous to form a cohesive pipeline from distilling knowledge to generating coherent, faithful narratives. In the first pillar, we address keyphrase generation as an information …
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ASPECT-BASED OPINION MINING OF PRODUCT REVIEWS IN MICROBLOGS USING MOST RELEVANT FREQUENT CLUSTERS OF TERMS
Aspect-based Opinion Mining (ABOM) systems take as input a corpus about a product and aim to mine the aspects (the features or parts) of the product and obtain the opinions of each aspect (how positive or negative the appraisal or emotions towards the aspect is). A few systems like Twitter Aspect …
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Product Defect Discovery and Summarization from Online User Reviews
… target only the negative reviews. As a kind of opinion mining research, existing defect discovery methods mainly focus on how to classify the type of product issues, which is not enough for users. People expect to see defect information in multiple facets, such as product model, component, and …
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CASM: searching context-aware sequential patterns iteratively
Many applications are interested in mining context-aware sequential patterns such as opinions, common navigation patterns, and product recommendations. However, traditional sequential pattern mining algorithms are not effective to mine such patterns. We thus study the problem of searching …
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Extracting product development intelligence from web reviews
… research developed the DFOC (Design - Feature - Opinion - Cause Relationship) method for integrating the evaluation of unstructured web reviews into the structured product design process. The key data element in this research is a Web review and its associated opinion polarity (positive, …
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A Performance Survey of Text-Based Sentiment Analysis Methods for Automating Usability Evaluations
… quantitative metrics but the explosion of opinion mining and sentiment analysis applications in recent decades has led to exciting new possibilities for usability evaluation methods.</p> <p>This paper presents a survey of modern, open-source sentiment analyzers’ usefulness in extracting and …
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Mining informative sentences in multi-product documents with PLSA
… which is quite different from previous works in opinion mining. Experiment results show that the high probability words in the word distribution of each product do discover the characteristics of the product. The results also reveal that the sentences which contain more these keywords are more …
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Sentiment Analysis Using Deep Learning: A Comparison Between Chinese And English
With the increasing popularity of opinion-rich resources, opinion mining and sentiment analysis has received increasing attention. Sentiment analysis is one of the most effective ways to find the opinion of authors. By mining what people think, sentiment analysis can provide the basis for decision …
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A Hybrid Approach to the Sentiment Analysis Problem at the Sentence Level
… building in Sentiment Analysis (SA) / Opinion Mining (OM) have been conducted and developed using Supervised Machine Learning techniques. It is our intention to prove that a hybrid approach merging fuzzy sets, a solid sentiment lexicon, traditional NLP techniques and aggregation methods …
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Consumer Acceptance of Beer: An Automated Sentiment Analysis Approach
… acceptance studies. Sentiment analysis is an opinion mining tool commonly used in marketing and computer science that extracts the emotional valence of the author from an unstructured text in the form of a sentiment score. A few studies in sensory evaluation use lexicon-based sentiment …
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Large Scale Aggregated Sentiment Analytics
… since it made possible capturing sentiments and opinions at a large scale and with the ever-growing precision. Sentiment Analytics came a long way from product review mining to full-fledged multi-dimensional analysis of social sentiment, exposing people attitude towards any topic aggregated along …
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Explainable Argument Mining
… automatic extraction of meaning from this data. Opinion mining and sentiment analysis provide valuable information on the views expressed in a text, however, they tell us only what opinions are being put forth and not why people hold the opinions they do. This is the task addressed by argument …
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Language Reasoning by means of Argument Mining and Argument Quality
… domain, including numeracy understanding, opinion mining and financial ocument processing. In this thesis, we are interested in analyzing the arguments of financial experts with the goal of supporting investment decisions. Although various business studies confirm the crucial role of …
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Content and Stylistic Models for Authorship, Stance, and Hyperpartisan Detection
… content and stylistic solutions for three opinion-oriented text classification problems. It explores user-generated text data to find how individuals write through authorship identification, express their opinion via stance detection, and articulate news while belonging to the left or right …
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Comparative text summarization of product reviews
… sources from which to learn about customer opinions. The only available techniques involve gathering customer opinions, often in text form, from e-commerce and social networking web sites and analyzing them, which is a costly and time-consuming process. In this work I address these issues by …
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Knowledge Acquisition from User Reviews for Interactive Question Answering
… coreference resolution, relation extraction and opinion mining are combined to produce various rankings of phone features. The research presented in this thesis employs two corpora which contain texts related to mobile phones specifically collected for this thesis: a corpus of Wikipedia articles …
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A study of fine-grained sentence-level emotion tagging
While there has been much work on sentiment analysis, emotion tagging has not been very well studied. Existing work has generally treated each text article as a unit for emotion tagging. In this work, we argue that it is more useful to perform emotion tagging at the sentence-level and use …
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Opinion Topic, Holder and Polarity in texts: exploration and automatic identification from cross-lingual data
People express their opinions in various ways in different domains. With the growing interest in what other people think, mining opinions in texts has been the focus of attention for researchers in many different fields. Also, with the rapid development of technology and the internet, more and more …
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Computational user intent modeling
… types of user-generated data. First, a novel opinionated text mining problem called Latent Aspect Rating Analysis (LARA) is proposed and studied. Clearly distinct from all previous works in opinion analysis that mostly focus on integrated entity-level opinions, LARA for the first time reveals …
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