Increasing Usability Using Semantic Analysis
Md. Farhad Shahid · KTH Publication Database DiVA (KTH Royal Institute of Technology) · 2007
In linguistics, semantic analysis is a part of the Artificial Intelligence and it is a major interest in today’s research in Computer Science. Semantic analysis is using to study the meaning of words and fixed word combinations, and how these combine to form the meanings of sentences. When the users enter a input text to search a particual thing, the semantic analysis technique is using to finding out the matching content from the web text. For the users as well as for the application, semantic analysis is incresing the usability. To achiving this usability and incresing the facilities for the users, semantic anlysis is developing day by day. Like the human, the machine can also understand the human language now a days. So the machine is using for find out certine input texts or document from the online newspapers and web content texts. It is faster then human to collecting thousands and millions news in a certain amount of time. Some few techniques are developed to understand the text or document like crime report analysis and resume type recognization. Crime report analysis can find out the date, place and time of the crime. Which is easier to analysis by using the machine. But this system will not work for other different type of texts. So if we want to find out the object name, location, person name from a input text, there are no suitable technique for us. This thesis propose and describe a solution in the area of semantic analysis which will identify the object name, text type and priority from a users input text.