An Empirical Study and Analysis of Automatic Text Generation Process

News article generation is very easy by using lexical chains. The news stories have to be prepared within a very short time. Time plays a prominent role in the production of news story. The information gathered from the places needed to be converted into news stories within a very short time. This preparation of news stories were so far done by the editors with lots of efforts. The artificial intelligence and natural language processing are the effective tools which is s successful in manipulating and creating text messages. JLexNews system generates the efficient and effective article with exact texts. It also identifies the statistical word association and gloss definitions for the creation of lexical chains. This system will be very useful for news article generations.