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Lexical Sense Labeling and Sentiment Potential Analysis Using Corpus-Based Dependency Graph
This paper describes a graph method for labeling word senses and identifying lexical sentiment potential by integrating the corpus-based syntactic-semantic dependency graph layer, lexical semantic and sentiment dictionaries.
Tajana Ban Kirigin +2 more
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Performance Analysis of Different Sentiment Polarity Dictionaries on Turkish Sentiment Detection
- In places such as social media and news websites, the number of web-based textual materials those deal with today’s events and contain people’s emotions continues to increase inevitably day by day. All of these texts, with their own importance, affect our society in some way. For this reason, it is very important to automatically detect the sentiment
Ayse Berna Altinel +2 more
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BackgroundField notes, a form for resident-preceptor clinical encounter feedback, are widely adopted across Canadian medical residency training programs for documenting residents’ performance.
Kevin Jia Qi Lu +3 more
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Sentiment analysis is a research area that aims to find out people\"s opinions by matching data to topics, notions, etc. There are several approaches for sentiment analysis (e.g., machine learning-based, dictionary-based, hybrid-based, etc.). In this study, we presented a new tripolar Turkish sentiment dictionary, SentiMenTR, which consists of bigrams ...
Eren Elma +2 more
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Brand Potential User Identification Algorithm Based on Sentiment Analysis
This paper firstly compares the current research status of text sentiment analysis and potential customer identification, and introduces the process of building sentiment dictionaries and feature selection, feature screening, and common classification ...
Hongxia Li
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Efficient Sentiment-Aware Web Crawling Methods for Constructing Sentiment Dictionary [PDF]
In traditional web crawling, all web pages crawled are first stored to databases. As a result, this approach can store unnecessary web pages and requires additional running time for the construction of a sentiment dictionary in a particular domain because sentiment words should be identified by scanning all web pages in the database.
Byung-Won On +5 more
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Creating sentiment dictionaries via triangulation [PDF]
The paper presents a semi-automatic approach to creating sentiment dictionaries in many languages. We first produced high-level gold-standard sentiment dictionaries for two languages and then translated them automatically into third languages. Those words that can be found in both target language word lists are likely to be useful because their word ...
Steinberger, J. +9 more
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TEXTS SENTIMENT-ANALYSIS APPLICATION FOR PUBLIC OPINION ASSESSMENT [PDF]
The paper describes an approach to the emotional tonality assessment of natural language texts based on special dictionaries. A method for an automatic assessment of public opinion by means of sentiment-analysis of reviews and discussions followed by ...
I. A. Bessmertny, R. V. Posevkin
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Sentiment classification can provide the decision support of social applications such as trend judgment, public opinion monitoring, etc. However, the accuracy of sentiment classification for Chinese Weibo is still not satisfactory due to the complexity ...
Zhongliang Wei +4 more
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Chinese Text Sentiment Analysis Based on Extended Sentiment Dictionary [PDF]
The method of text sentiment analysis based on sentiment dictionary often has the problems that the sentiment dictionary doesn't contain enough sentiment words or omits some field sentiment words. In addition, due to the existence of some polysemic sentiment words with positivity, negativity, and neutrality, the words' polarity cannot be accurately ...
Guixian Xu +5 more
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