Sentiment analysis using common‐sense and context information
Sentiment analysis research has been increasing tremendously in recent times due to the
wide range of business and social applications. Sentiment analysis from unstructured …
wide range of business and social applications. Sentiment analysis from unstructured …
Machine learning approach for sentiment analysis
Abstract Machine learning algorithms have been widely used for sentiment analysis [66].
The bag-of-words (BoW) representation is commonly used for sentiment analysis [63, 93] …
The bag-of-words (BoW) representation is commonly used for sentiment analysis [63, 93] …
[图书][B] Prominent feature extraction for sentiment analysis
The field of sentiment analysis is an exciting and new research direction due to a large
number of real-world applications. Discovering people's opinion is very important for better …
number of real-world applications. Discovering people's opinion is very important for better …
The CLSA model: A novel framework for concept-level sentiment analysis
Hitherto, sentiment analysis has been mainly based on algorithms relying on the textual
representation of online reviews and microblogging posts. Such algorithms are very good at …
representation of online reviews and microblogging posts. Such algorithms are very good at …
Dependency-based semantic parsing for concept-level text analysis
Abstract Concept-level text analysis is superior to word-level analysis as it preserves the
semantics associated with multi-word expressions. It offers a better understanding of text …
semantics associated with multi-word expressions. It offers a better understanding of text …
Semantic orientation-based approach for sentiment analysis
Two types of techniques have been used in the literature for semantic orientation-based
approach for sentiment analysis, viz.,(i) corpus based and (ii) dictionary or lexicon or …
approach for sentiment analysis, viz.,(i) corpus based and (ii) dictionary or lexicon or …
Sentiment analysis using conceptnet ontology and context information
Sentiment analysis research has been increasing tremendously in recent times due to the
wide range of business and social applications. Sentiment analysis from unstructured …
wide range of business and social applications. Sentiment analysis from unstructured …
Web-based Turkish automatic short-answer grading system
In this paper, a web-based Turkish automatic short answer grading system (TASAG) is
developed to score exam questions and to generate online exams for automatic scoring of …
developed to score exam questions and to generate online exams for automatic scoring of …
DomESA: a novel approach for extending domain-oriented lexical relatedness calculations with domain-specific semantics
M Rybiński, JF Aldana Montes - Journal of Intelligent Information Systems, 2017 - Springer
Being able to correctly model semantic relatedness between texts, and consequently the
concepts represented by these texts, has become an important part of many intelligent …
concepts represented by these texts, has become an important part of many intelligent …
Systematic Review of Semantic Analysis Methods
MJ Yousif - Applied Computing Journal, 2023 - testojs.acaa-p.com
NLP (natural language processing) is a very broad subcategory of computer science that
focuses on human language processing in computers. Each different NLP processing …
focuses on human language processing in computers. Each different NLP processing …