Sentiment Analysis and Classification in Technology (3871 words, 16 pages)
There is an increasing number and variety of research papers in the area of sentiment analysis and classification. We chose to consider only related work which makes use of the following machine learning techniques, document-level classification, n-gram features (such as unigrams), part-of-speech tagging, lexical resources (especially SentiWordNet), sentiment classification techniques ...
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