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Journal ArticleDOI

Ant colony optimization for text feature selection in sentiment analysis

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This article is published in Intelligent Data Analysis.The article was published on 2019-01-01. It has received 31 citations till now. The article focuses on the topics: Ant colony optimization algorithms & Sentiment analysis.

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Citations
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Journal ArticleDOI

Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection

TL;DR: An improved version of Salp Swarm Algorithm (ISSA) is proposed in this study to solve feature selection problems and select the optimal subset of features in wrapper-mode and demonstrates that ISSA outperforms all baseline algorithms in terms of fitness values, accuracy, convergence curves, and feature reduction in most of the used datasets.
Journal ArticleDOI

A comprehensive survey on sentiment analysis: Approaches, challenges and trends

TL;DR: Sentiment analysis (SA) is the task of extracting and analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities such as topics, products, and services as discussed by the authors.
Journal ArticleDOI

A comparative study on bio-inspired algorithms for sentiment analysis

TL;DR: A comprehensive review of the significant bio-inspired algorithms that are popularly applied in sentiment analysis, which consist of swarm intelligence based and non-swarm intelligence-based algorithms.
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GAWA–A Feature Selection Method for Hybrid Sentiment Classification

TL;DR: This work aims to present a comprehensive model of hybrid sentiment by using the proposed method, GAWA, which outperformed the previous research and was valued in developing a new approach for the selection of feature-set with a better accuracy level.
References
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Journal ArticleDOI

An introduction to variable and feature selection

TL;DR: The contributions of this special issue cover a wide range of aspects of variable selection: providing a better definition of the objective function, feature construction, feature ranking, multivariate feature selection, efficient search methods, and feature validity assessment methods.
Journal ArticleDOI

Ant system: optimization by a colony of cooperating agents

TL;DR: It is shown how the ant system (AS) can be applied to other optimization problems like the asymmetric traveling salesman, the quadratic assignment and the job-shop scheduling, and the salient characteristics-global data structure revision, distributed communication and probabilistic transitions of the AS.
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Term Weighting Approaches in Automatic Text Retrieval

TL;DR: This paper summarizes the insights gained in automatic term weighting, and provides baseline single term indexing models with which other more elaborate content analysis procedures can be compared.
Journal ArticleDOI

Wrappers for feature subset selection

TL;DR: The wrapper method searches for an optimal feature subset tailored to a particular algorithm and a domain and compares the wrapper approach to induction without feature subset selection and to Relief, a filter approach tofeature subset selection.
Proceedings ArticleDOI

Mining and summarizing customer reviews

TL;DR: This research aims to mine and to summarize all the customer reviews of a product, and proposes several novel techniques to perform these tasks.
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