A Survey on NLP based Text Summarization for Summarizing Product Reviews

No one can imagine life without a smartphone and internet nowadays. It has become essential for people of all age groups. With an increase in the usage of internet and smartphones, there has been a steady increase in online shopping too. Everyone wishes to get their products delivered at their home without any hassle. How to detect which products are genuine and pick the best among the unlimited options at the same price? Every user looks at the reviews before ordering anything online. Nevertheless reading those long reviews is not easy for everyone. Therefore, there must be something that can reduce the long reviews to short sentences of limited words depicting the same meaning. Text Summarization can come in hand in this aspect. Many NLP researchers are interested in Text Summarization. This paper is a survey on the various types of text summarization techniques starting from the basic to the advanced techniques. According to this survey, seq2seq model along with the LSTM and attention mechanism is used for increased accuracy.