Obtaining and Analyzing Data from Texts

Abstract

This paper provides an overview of the procedure for gathering and analysing data from texts. We are surrounded by textual information. You typically navigate through a lot of textual information just after you wake up in the form of text messages, emails, social media updates, and blog articles before you reach for your first cup of coffee. It might be tough to extract information from such vast amounts of text data. Large amounts of text data are handled by businesses from a variety of data sources, including apps, web pages, social media, customer reviews, support tickets, and call transcripts. Businesses use a technique called text mining to extract reliable, pertinent information from such massive amounts of text data. Text analysis software is used to carry out this process of information extraction from text data. Text mining tasks that are frequently performed include entity extraction, document summarization, text classification, text clustering, sentiment analysis, and the building of granular taxonomies.