Matches in SemOpenAlex for { <https://semopenalex.org/work/W2947321331> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W2947321331 abstract "Feature extraction is to transform a text document from any format into a list of features that can be easily processed by text classification techniques. Feature extraction is one of significant preprocessing techniques in data mining and text classification that computes features value in documents. Hence, efficient feature extraction techniques like the BM25 and term frequency-inverse document frequency (TF-IDF) techniques are normally utilized in term weighting. Nevertheless, BM25 is not a single function that is utilized to exceedingly correct very long documents. This problem cannot denote the helpfulness or importance of confident features, and decreases the efficiency of classification. This paper presents a comparative study of feature extraction techniques. Two techniques were evaluated BM25 and TF-IDF to weight the terms on Twitter. In this paper, TF-IDF feature extraction technique is presented to compare between the two techniques. The experiments show that TF-IDF improves the performance evaluation of feature extraction according to the maximum value of F1-measure is 89.77 for TF-IDF and 89.16 for BM25." @default.
- W2947321331 created "2019-06-07" @default.
- W2947321331 creator A5005693357 @default.
- W2947321331 date "2019-04-01" @default.
- W2947321331 modified "2023-10-05" @default.
- W2947321331 title "Term Weighting for Feature Extraction on Twitter: A Comparison Between BM25 and TF-IDF" @default.
- W2947321331 cites W1973234918 @default.
- W2947321331 cites W2000933650 @default.
- W2947321331 cites W2020464352 @default.
- W2947321331 cites W2030453903 @default.
- W2947321331 cites W2074237519 @default.
- W2947321331 cites W2105380208 @default.
- W2947321331 cites W2112006025 @default.
- W2947321331 cites W2149427297 @default.
- W2947321331 cites W2165613971 @default.
- W2947321331 cites W2261525379 @default.
- W2947321331 cites W2324897553 @default.
- W2947321331 cites W2340234190 @default.
- W2947321331 cites W2561533860 @default.
- W2947321331 cites W2616728312 @default.
- W2947321331 cites W2798286725 @default.
- W2947321331 cites W2909182718 @default.
- W2947321331 cites W2963662761 @default.
- W2947321331 cites W4235486249 @default.
- W2947321331 cites W4252076394 @default.
- W2947321331 doi "https://doi.org/10.1109/icoase.2019.8723825" @default.
- W2947321331 hasPublicationYear "2019" @default.
- W2947321331 type Work @default.
- W2947321331 sameAs 2947321331 @default.
- W2947321331 citedByCount "40" @default.
- W2947321331 countsByYear W29473213312020 @default.
- W2947321331 countsByYear W29473213312021 @default.
- W2947321331 countsByYear W29473213312022 @default.
- W2947321331 countsByYear W29473213312023 @default.
- W2947321331 crossrefType "proceedings-article" @default.
- W2947321331 hasAuthorship W2947321331A5005693357 @default.
- W2947321331 hasConcept C121332964 @default.
- W2947321331 hasConcept C124101348 @default.
- W2947321331 hasConcept C126838900 @default.
- W2947321331 hasConcept C138885662 @default.
- W2947321331 hasConcept C153180895 @default.
- W2947321331 hasConcept C154945302 @default.
- W2947321331 hasConcept C183115368 @default.
- W2947321331 hasConcept C189430467 @default.
- W2947321331 hasConcept C23123220 @default.
- W2947321331 hasConcept C2776401178 @default.
- W2947321331 hasConcept C34736171 @default.
- W2947321331 hasConcept C41008148 @default.
- W2947321331 hasConcept C41895202 @default.
- W2947321331 hasConcept C52622490 @default.
- W2947321331 hasConcept C61797465 @default.
- W2947321331 hasConcept C62520636 @default.
- W2947321331 hasConcept C71924100 @default.
- W2947321331 hasConcept C81758059 @default.
- W2947321331 hasConceptScore W2947321331C121332964 @default.
- W2947321331 hasConceptScore W2947321331C124101348 @default.
- W2947321331 hasConceptScore W2947321331C126838900 @default.
- W2947321331 hasConceptScore W2947321331C138885662 @default.
- W2947321331 hasConceptScore W2947321331C153180895 @default.
- W2947321331 hasConceptScore W2947321331C154945302 @default.
- W2947321331 hasConceptScore W2947321331C183115368 @default.
- W2947321331 hasConceptScore W2947321331C189430467 @default.
- W2947321331 hasConceptScore W2947321331C23123220 @default.
- W2947321331 hasConceptScore W2947321331C2776401178 @default.
- W2947321331 hasConceptScore W2947321331C34736171 @default.
- W2947321331 hasConceptScore W2947321331C41008148 @default.
- W2947321331 hasConceptScore W2947321331C41895202 @default.
- W2947321331 hasConceptScore W2947321331C52622490 @default.
- W2947321331 hasConceptScore W2947321331C61797465 @default.
- W2947321331 hasConceptScore W2947321331C62520636 @default.
- W2947321331 hasConceptScore W2947321331C71924100 @default.
- W2947321331 hasConceptScore W2947321331C81758059 @default.
- W2947321331 hasLocation W29473213311 @default.
- W2947321331 hasOpenAccess W2947321331 @default.
- W2947321331 hasPrimaryLocation W29473213311 @default.
- W2947321331 hasRelatedWork W2009593660 @default.
- W2947321331 hasRelatedWork W2126100045 @default.
- W2947321331 hasRelatedWork W2355149094 @default.
- W2947321331 hasRelatedWork W2383096489 @default.
- W2947321331 hasRelatedWork W2391959412 @default.
- W2947321331 hasRelatedWork W2546942002 @default.
- W2947321331 hasRelatedWork W2790670775 @default.
- W2947321331 hasRelatedWork W4239598648 @default.
- W2947321331 hasRelatedWork W4243530889 @default.
- W2947321331 hasRelatedWork W4281569536 @default.
- W2947321331 isParatext "false" @default.
- W2947321331 isRetracted "false" @default.
- W2947321331 magId "2947321331" @default.
- W2947321331 workType "article" @default.