Application of Summarization and Sentiment Analysis in the Tourism domain

Text summarization helps in reducing the size of a text while preserving its information content. Text Summarization can be derived as shortening the source text in to a version that it's information content and overall meaning is preserved. It is very difficult for human beings to manually summarize large documents of text. These Text summarization methods can be classified into two broader methods such as extractive summarization and abstractive summarization. The prior method consists of selecting important sentences; paragraphs etc. from the source document and make a brief version of it by combining them. The latter method consists of understanding the overall meaning embedded in the original text and re-generates the content briefly. Sentiment analysis on the other hand is the process of computationally identifying and categorizing opinions expressed in text to clarify someone's' attitude towards a topic is positive or else negative or even neutral. In this paper, a Survey of Summarization and sentiment analysis and their application in the tourism domain has been presented.