SEARCH RESULT SYNONYMY INDEXING FOR SOCIAL NETWORK USING LATENT SEMANTIC ANALYSIS

Information retrieval (IR) has fashion the way of people acquiring information
in Internet. Among of these are known as a search feature. Although semantic
search is increasingly popular, not all the web has the technology to apply in
their system mainly because of the various reasons of cost. Social network are
known for their abstract and inconsistent of semantic data. This assessment is
using term frequency vector of Wikipedia content to gather the most
frequently terms within corpus as synonym data. After an overview of
traditional search engine mechanism works and how synonym of a word
associates meaning, the review solves broader and wider of data retrieval
index by collecting same-meaning query in from search-data registry in social
network by abstraction using Latent Semantic Analysis Synset. Conceptual
relationships of set of query could be specified by taxonomy or it could be less
passive inarticulate by statistical related to other words.