Text classification

The digital era has seen a humongous increase in data, which is unstructured and needs to be processed to extract any information out of it. Research in the field of natural language processing has paved the way towards automatic organization and classification of documents into the categories that they belong to. Document classification finds its utility in numerous applications such as spam classification, mail routing, priority inbox or mail relevance ranking, news monitoring and censoring, identification or article genre, and indexing of documents. The text classification process flow is described in the following diagram. We have discussed the preprocessing steps in Chapter 5, Text Summarization and Clustering, which involves basic data cleansing. After this step, we choose the document representation method. Features extraction and selection is performed on the cleansed data as per the document representation method chosen in the last step. We have discussed feature...