Construction of News Headline from Detailed News Article

Usually long news article contains large amount of information. Many a times due to lack of time people are unable to read whole news article. Therefore, headline is required in order to get complete idea of news without reading whole news article. The extractive and abstractive approaches are conventionally used for news headline generation. In this paper, a combinational approach is used for headline construction by using keywords/keyphrases along with parsing technique of Natural Language Processing (NLP). The Keyphrase Extraction Algorithm (KEA) is used to extract keyphrases from input news text. Respective news domain word thesaurus and some other approaches are used for retrieving keywords from news text. Proper headline syntax can be constructed by using parsing technique. Headline is useful to reduce the reading and interpretation time for getting the complete idea of entire news article. The objective is to save reader's time and effort in finding the useful information in a detail news article.