Deriving insight from text mining and machine learning

Text mining is the analysis of data contained in natural language text. It can help an organization derive potentially valuable business insights from text-based content such as Word documents, emails and postings on social media streams such as Facebook, Twitter and LinkedIn. It has become an important research area for the application of machine learning techniques in the study of information retrieval and natural language processing. In a sense, it is defined as the way of discovering knowledge from ubiquitous text data that is easily accessible over the Internet. Text mining is a process comprising several steps as shown in Figure 1. Step 1: The documents that suit the application are determined in large volumes of textual data. Document clustering methods are used to solve this problem. These methods are unsupervised…


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