Material Recommendation System discovers relevant feature in text documents and this evaluates the performance of student so that appropriate learning materials can be rendered to them. Text mining also referred to as text data mining, roughly equivalent to text analytics, refers to the process of deriving high-quality information from text. High-quality information is typically derived through the devising of patterns and trends through means such as statistical pattern learning. Text analytics software can help by transposing words and phrases in unstructured data into numerical values which can then be linked with structured data in a database and analyzed through different techniques. With an iterative approach, an organization can successfully use text analytics to gain understanding. Text analytics involves the application of techniques from areas such as information retrieval, natural language processing, and information extraction. These various stages of a textanalytics process can be combined together into a single workflow. Hence large industry dealing with enormous amount of text data are now easy for analyzes and interpretation. The main object is that the Easy Retrieval of relevant information’s, Effective analyses and interpretation of text, faster data processing and accessing, Increases the degree of accuracy in retrieved data, Human intervention is reduced, large amount of processing time is minimized and Probability of missing any critical data is reduced.