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Sentiment Analysis is one of the most important and challenging research topic in the field of natural language processing and opinion mining. In this article, six different approaches are discussed to determine the actual sentiment of the sentence and analyzed their performances. In parts of speech ratio method, the Parts of Speech (POS) of the queries are tagged and the POS ratio and the hamming...
The vector representation of Bengali words using word2vec model (Mikolov et al. (2013)) plays an important role in Bengali sentiment classification. It is observed that the words that are from same context stay closer in the vector space of word2vec model and they are more similar than other words. In this article, a new approach of sentiment classification of Bengali comments with word2vec and Sentiment...
The sentiment of a sentence or a comment can be detected more accurately by applying Word Embeddings. This article presents the idea of word co-occurrence matrix and Skip-Gram to determine the actual contexts of the words, Hellinger PCA to determine the most similar words and generate a sliding window of most probable context words around each word. It is shown that, by applying Word Embeddings to...
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