Estimating the semantic similarity between short texts plays an increasingly prominent role in many fields related to text mining and natural language processing applications, especially with large increase volume of textual data that is produced daily. Traditional approaches for calculating degree two texts, based on words they share, do not perform well because similar may be written differen...

Estimating the semantic similarity between text data is one of challenging and open research problems in field Natural Language Processing (NLP). The versatility natural language makes it difficult to define rule-based methods for determining measures. To address this issue, various have been proposed over years. This survey article traces evolution such beginning from traditional NLP technique...