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Text mining at multiple granularity: leveraging subwords, words, phrases, and sentences
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Word Sense Disambiguation Using Prior Probability Estimation Based on the Korean WordNet
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In: Electronics; Volume 10; Issue 23; Pages: 2938 (2021)
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Sentiment-Target Word Pair Extraction Model Using Statistical Analysis of Sentence Structures
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In: Electronics; Volume 10; Issue 24; Pages: 3187 (2021)
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Abstract:
Product information has been propagated online via forums and social media. Lots of merchandise are recommended via an expert system method and is considered for purchase by online comments or product reviews. For predicting people’s opinions on products, studying people’s thoughts via extracting information in documents is referred to as sentiment analysis. Finding sentiment-target word pairs is an important sentiment mining research issue. With the Korean language, as the predicate appears at the very end, it is not easy to find the exact word pairs without first identifying the syntactic structure of the sentence. In this study, we propose a model that parses sentence structures and extracts sentiment-target word pairs from the parse tree. The proposed model extracts the sentiment-target word pairs that appear in the sentence by using parsing and statistical methods. For extracting sentiment-target word pairs, this model uses a sentiment word extractor and a target word extractor. After testing data from 4000 movie reviews, the applicable model showed high performance in both accuracy 93.25 (+14.45) and F1-score 82.29 (+3.31) compared with others. However, improvements in the recall rate (−0.35) are needed and computational costs must be reduced.
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Keyword:
data mining; opinion mining; parser; statistical model; word extraction
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URL: https://doi.org/10.3390/electronics10243187
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Political analytics on election candidates and their parties in context of the US Presidential elections 2020
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Detection of attacks in the corporate network using the rules of fuzzy logic ; Виявлення атак в корпоративній мережі за допомогою правил нечіткої логіки
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In: Science-based technologies; Том 48, № 4 (2020); 470-477 ; Наукоемкие технологии; Том 48, № 4 (2020); 470-477 ; Наукоємні технології; Том 48, № 4 (2020); 470-477 (2020)
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Analysis of the relationship between Saudi twitter posts and the Saudi stock market
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Identifying Mubasher software products through sentiment analysis of Arabic tweets
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Arabic text classification methods: systematic literature review of primary studies
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A Shallow Parsing Approach to Natural Language Queries of a Database
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Использование векторных методов представления слов в задачах выявления трендов ... : Vector word representation methods in trend detection tasks ...
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Discovery of topological constraints on spatial object classes using a refined topological model
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In: Journal of Spatial Information Science (2019)
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Using Twitter Data to Monitor Natural Disaster Social Dynamics: A Recurrent Neural Network Approach with Word Embeddings and Kernel Density Estimation
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In: Sensors ; Volume 19 ; Issue 7 (2019)
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Recognition of American Sign Language Gestures in a Virtual Reality Using Leap Motion
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In: Applied Sciences ; Volume 9 ; Issue 3 (2019)
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QUERIES STRUCTURING FOR SOLVING GRAMMAR AND LEXICAL SEMANTIC PROBLEMS BY MEANS OF CORPUS TOOLS
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In: Новітня лінгвістика; № 4 (2019): ; 18-28 ; Advanced Linguistics; № 4 (2019): Advanced Linguistics; 18-28 ; 2663-6646 ; 2617-5339 (2019)
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Analysis of scientific production based on trending research topics. An Artificial Intelligence case study
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Improving Document Representation Using Retrofitting
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In: Electronic Theses and Dissertations (2019)
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Merging of Numerical Intervals in Entropy-Based Discretization
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: MDPI, 2019
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Using Twitter to understand the human bowel disease community: exploratory analysis of key topics
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