Text Analytics Software helps users examine text data from a variety of sources and then make meaning of it by identifying topics of interest. Online reviews, survey results, Tweets, product reviews and many other written feedback by customers contain valuable information that can be used to draw important marketing insights. Text analytics software can even convert conversations between customers into text that can be analyzed. Text Analytics Software use various statistical, linguistical, and machine-learning techniques to convert both structured and unstructured text into data that can be analyzed. This data can help businesses determine their customers’ opinions, gain valuable feedback and even provide search capabilities. This supports their decision-making processes by helping them gather data-supported competitive intelligence. Text Analytics Software can also help in gathering national intelligence as well as scientific intelligence for social studies. Other uses include screening of potential job candidates based on the words in their resumes, flagging fraudulent insurance claims, filtering spam emails, and even scrutinizing corporate documents. They employ natural language processing (NLP) and machine learning techniques to extract useful insights like key phrases, sentiments or language from text data, and from various sources. This data can then be visually presented for further analysis by the users. Text analytics software are therefore critical for businesses since they allow for access to the high-impact information hidden in unstructured text.