An Approach Paper-Compressed Indexing of Tweets for Information Retrieval
Ritu Godhani, Devishree Naidu · Zenodo (CERN European Organization for Nuclear Research) · 2014
In this paper, we present an approach for a compressed indexing of tweets for information retrieval in which, we take short 140-character text messages called tweets, preprocess tweets, and create the index, compress the index, and find percentage accuracy of the compressed index and uncompressed index. The paper also outlines literature review of some of the approaches used in optimizing inverted index compression.