A feature selection model based on genetic rank aggregation for text sentiment classification
A Onan, S Korukoğlu - Journal of Information Science, 2017 - journals.sagepub.com
Sentiment analysis is an important research direction of natural language processing, text
mining and web mining which aims to extract subjective information in source materials. The …
mining and web mining which aims to extract subjective information in source materials. The …
GAWA–a feature selection method for hybrid sentiment classification
Sentiment analysis or opinion mining is the key to natural language processing for the
extraction of useful information from the text documents of numerous sources. Several …
extraction of useful information from the text documents of numerous sources. Several …
[PDF][PDF] Performance investigation of feature selection methods and sentiment lexicons for sentiment analysis
Sentiment analysis or opinion mining has become an open research domain after
proliferation of Internet and Web 2.0 social media. People express their attitudes and …
proliferation of Internet and Web 2.0 social media. People express their attitudes and …
Hybrid filter–wrapper feature selection method for sentiment classification
The feature selection (FS) has been the latest challenge in the area of sentiment
classification. The filter-and wrapper-based feature selection methods are applied in the …
classification. The filter-and wrapper-based feature selection methods are applied in the …
An ensemble approach to stabilize the features for multi-domain sentiment analysis using supervised machine learning
Sentiment classification or sentiment analysis has been acknowledged as an open research
domain. In recent years, an enormous research work is being performed in these fields by …
domain. In recent years, an enormous research work is being performed in these fields by …
A hybrid framework for sentiment analysis using genetic algorithm based feature reduction
Due to the rapid development of Internet technologies and social media, sentiment analysis
has become an important opinion mining technique. Recent research work has described …
has become an important opinion mining technique. Recent research work has described …
Ensemble of feature sets and classification algorithms for sentiment classification
In this paper, we make a comparative study of the effectiveness of ensemble technique for
sentiment classification. The ensemble framework is applied to sentiment classification …
sentiment classification. The ensemble framework is applied to sentiment classification …
A novel wrapper feature selection algorithm based on iterated greedy metaheuristic for sentiment classification
In recent years, sentiment analysis is becoming more and more important as the number of
digital text resources increases in parallel with the development of information technology …
digital text resources increases in parallel with the development of information technology …
A comparative study of feature selection and machine learning techniques for sentiment analysis
Sentiment analysis is performed to extract opinion and subjectivity knowledge from user
generated text content. This is contextually different from traditional topic based text …
generated text content. This is contextually different from traditional topic based text …
Ant colony optimization for text feature selection in sentiment analysis
In sentiment analysis, the high dimensionality of the feature vector is a key problem because
it can decrease the accuracy of sentiment classification and make it difficult to obtain the …
it can decrease the accuracy of sentiment classification and make it difficult to obtain the …