An Approach Paper-Compressed Indexing of Tweets for Information Retrieval
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| Format: | Recurso digital |
| Sprache: | Englisch |
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Zenodo
2014
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| _version_ | 1866901051869757440 |
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| author | Godhani, Ritu Naidu, Devishree |
| author_facet | Godhani, Ritu Naidu, Devishree |
| contents | <p><span>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.</span> </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14742970 |
| institution | Zenodo |
| language | eng |
| publishDate | 2014 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | An Approach Paper-Compressed Indexing of Tweets for Information Retrieval Godhani, Ritu Naidu, Devishree <p><span>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.</span> </p> |
| title | An Approach Paper-Compressed Indexing of Tweets for Information Retrieval |
| url | https://doi.org/10.5281/zenodo.14742970 |