In several research articles, TF-IDF and PMI is used for feature/aspect extraction. I am classifying different types of techniques used for feature identification.
TF-IDF (Term Frequency-Inverse Document Frequency) is a text mining and information retrieval technique used to categorize documents. Have you ever looked at blog posts on a web site, and wondered if it is possible to generate the tags automatically? Well, that's exactly the kind of problem TF-IDF is suited for.
It is worth noting the differences between TF-IDF and sentiment analysis. Although both could be considered classification techniques for text, their goals are distinct. On the one hand, sentiment analysis aims to classify documents into opinions such as 'positive' and 'negative'. On the other hand, TF-IDF classifies documents into categories inside the documents themselves.
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