Survey of progressive era of text summarization for indian and foreign languages using natural language processing

Abstract

The last few years of Data Science definitely show the upward trend in growth of popularity, different industries which are effectively relating with data science & the transformation of world with e-commerce sites, social networking sites, travel aggregators, Google assistants. Here the need of text summarization comes in existence. This text summarization is a conception which actually deals with time saving and giving user the output with minimum text without changing its meaning. This approach is very impressive as the e-contents reading is very important aspect in many fields like academics, industries, hospitals, clinical notes, news papers, crime records, cyber security and many other. This paper shows the advancements which has initiated research for text summarization in many global and local languages. Text mining is coping up with many dimensions like text summarization, question generation, sentiment analysis, and translators. Natural Language Processing is one of the demanding areas now a day, which will definitely improve the human machine interaction.