Latent semantic analysis for text-based research

Query expansion based on relevance feedback and latent semantic analysis

Web search engines are one of the most popular tools on the Internet which are widely-used by expert and novice users. Constructing an adequate query which represents the best specification of users’ information need to the search engine is an important concern of web users. Query expansion is a way to reduce this concern and increase user satisfaction. In this paper, a new method of query expa...

Latent Semantic Analysis for Text Segmentation

research outputs SVO triple based Latent Semantic Analysis for recog

Latent Semantic Analysis has only recently been applied to textual entailment recognition. However, these efforts have suffered from inadequate bag of words vector representations. Our prototype implementation for the Third Recognising Textual Entailment Challenge (RTE-3) improves the approach by applying it to vector representations that contain semi-structured representations of words. It use...

Improving Text Segmentation Using Latent Semantic Analysis

Choi, Wiemer-Hastings and Moore (2001) proposed to use Latent Semantic Analysis to extract semantic knowledge from corpora in order to improve the accuracy of a text segmentation algorithm. By comparing the accuracy of the very same algorithm depending on whether or not it takes into account complementary semantic knowledge, they were able to show the benefit derived from such knowledge. In the...

query expansion based on relevance feedback and latent semantic analysis

web search engines are one of the most popular tools on the internet which are widely-used by expert and novice users. constructing an adequate query which represents the best specification of users’ information need to the search engine is an important concern of web users. query expansion is a way to reduce this concern and increase user satisfaction. in this paper, a new method of query expa...