An artificial neural network based approach for sentiment analysis of opinionated text
Citations
22 citations
Cites methods from "An artificial neural network based ..."
...Document classification, another instance of the sequence classification problem, is performed by using the order of words as a major feature [25], a sentimental analysis is performed by using the sentiment lexicons of words [26], and the pattern-based sequence classification is studied in more general areas [27]....
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19 citations
Cites methods from "An artificial neural network based ..."
...In this work along with BPANN, it uses domain knowledge which are available in sentiment lexicon [8]....
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19 citations
12 citations
Cites methods from "An artificial neural network based ..."
...On reviewing literature, it is found that various supervised machine learning algorithms like Naïve Bayes [12] [13] Support Vector Machines[14] [15] and Neural Networks [16] have been used for opinion mining of text to classify positive and negative sentiment....
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12 citations
Cites methods from "An artificial neural network based ..."
...Sharma and Dey [10] proposed a sentiment classification model using backpropagation artificial neural network, using information gain and three popular sentiment lexicons to extract sentiment representing features that are then used to train and test the network....
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References
555 citations
"An artificial neural network based ..." refers background in this paper
...In an attempt to assigns sentiment scores to each distinct entity in the text and then assigning a overall subjectivity score to the text, Godbole et al. (2007) proposed a sentiment lexiconbased semantic approach [12]....
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416 citations
"An artificial neural network based ..." refers methods in this paper
...A semi-supervised learning based method to classify terms as per their semantic orientation, was proposed by Esuli and Sebastiani (2005)....
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414 citations