Matches in SemOpenAlex for { <https://semopenalex.org/work/W2546220600> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W2546220600 abstract "This paper presents our experimental work on evaluation of Machine Learning based classification approaches (Naïve Bayes and SVM) with the Unsupervised Semantic Orientation based SO-PMI-IR algorithm for sentiment analysis of movie review texts. We have used both pre-existing data sets and our own dataset collection comprising of a large number of user reviews for Hindi movies. The Naïve Bayes and SVM approaches were implemented in multiple folds. The results, in addition to presenting a detailed comparative view of these techniques, demonstrate that with suitable selection of features the Naive Bayes algorithm performs reasonably well and at times matches the popularly believed superior performance level of SVM, at least for sentiment analysis task. The SO-PMI-IR algorithm produces substantially accurate sentiment classification without the requirement of any prior training. The accuracy of SO-PMI-IR however depends on POS tags used as features and thresholding/ aggregation schemes used." @default.
- W2546220600 created "2016-11-04" @default.
- W2546220600 creator A5020042110 @default.
- W2546220600 creator A5026129552 @default.
- W2546220600 creator A5026750523 @default.
- W2546220600 creator A5056797000 @default.
- W2546220600 date "2012-12-01" @default.
- W2546220600 modified "2023-09-27" @default.
- W2546220600 title "Evaluating Machine Learning and Unsupervised Semantic Orientation approaches for sentiment analysis of textual reviews" @default.
- W2546220600 cites W1880280183 @default.
- W2546220600 cites W2102134623 @default.
- W2546220600 cites W2118020653 @default.
- W2546220600 cites W2139979941 @default.
- W2546220600 cites W2166706824 @default.
- W2546220600 cites W4213009331 @default.
- W2546220600 cites W4250860020 @default.
- W2546220600 doi "https://doi.org/10.1109/iccic.2012.6510235" @default.
- W2546220600 hasPublicationYear "2012" @default.
- W2546220600 type Work @default.
- W2546220600 sameAs 2546220600 @default.
- W2546220600 citedByCount "24" @default.
- W2546220600 countsByYear W25462206002013 @default.
- W2546220600 countsByYear W25462206002014 @default.
- W2546220600 countsByYear W25462206002015 @default.
- W2546220600 countsByYear W25462206002016 @default.
- W2546220600 countsByYear W25462206002017 @default.
- W2546220600 countsByYear W25462206002018 @default.
- W2546220600 countsByYear W25462206002019 @default.
- W2546220600 countsByYear W25462206002020 @default.
- W2546220600 countsByYear W25462206002021 @default.
- W2546220600 countsByYear W25462206002022 @default.
- W2546220600 countsByYear W25462206002023 @default.
- W2546220600 crossrefType "proceedings-article" @default.
- W2546220600 hasAuthorship W2546220600A5020042110 @default.
- W2546220600 hasAuthorship W2546220600A5026129552 @default.
- W2546220600 hasAuthorship W2546220600A5026750523 @default.
- W2546220600 hasAuthorship W2546220600A5056797000 @default.
- W2546220600 hasConcept C107673813 @default.
- W2546220600 hasConcept C115961682 @default.
- W2546220600 hasConcept C119857082 @default.
- W2546220600 hasConcept C12267149 @default.
- W2546220600 hasConcept C153180895 @default.
- W2546220600 hasConcept C154945302 @default.
- W2546220600 hasConcept C16345878 @default.
- W2546220600 hasConcept C191178318 @default.
- W2546220600 hasConcept C204321447 @default.
- W2546220600 hasConcept C207201462 @default.
- W2546220600 hasConcept C2524010 @default.
- W2546220600 hasConcept C33923547 @default.
- W2546220600 hasConcept C41008148 @default.
- W2546220600 hasConcept C52001869 @default.
- W2546220600 hasConcept C66402592 @default.
- W2546220600 hasConcept C81917197 @default.
- W2546220600 hasConceptScore W2546220600C107673813 @default.
- W2546220600 hasConceptScore W2546220600C115961682 @default.
- W2546220600 hasConceptScore W2546220600C119857082 @default.
- W2546220600 hasConceptScore W2546220600C12267149 @default.
- W2546220600 hasConceptScore W2546220600C153180895 @default.
- W2546220600 hasConceptScore W2546220600C154945302 @default.
- W2546220600 hasConceptScore W2546220600C16345878 @default.
- W2546220600 hasConceptScore W2546220600C191178318 @default.
- W2546220600 hasConceptScore W2546220600C204321447 @default.
- W2546220600 hasConceptScore W2546220600C207201462 @default.
- W2546220600 hasConceptScore W2546220600C2524010 @default.
- W2546220600 hasConceptScore W2546220600C33923547 @default.
- W2546220600 hasConceptScore W2546220600C41008148 @default.
- W2546220600 hasConceptScore W2546220600C52001869 @default.
- W2546220600 hasConceptScore W2546220600C66402592 @default.
- W2546220600 hasConceptScore W2546220600C81917197 @default.
- W2546220600 hasLocation W25462206001 @default.
- W2546220600 hasOpenAccess W2546220600 @default.
- W2546220600 hasPrimaryLocation W25462206001 @default.
- W2546220600 hasRelatedWork W2368802141 @default.
- W2546220600 hasRelatedWork W2809687065 @default.
- W2546220600 hasRelatedWork W3036246613 @default.
- W2546220600 hasRelatedWork W4312478656 @default.
- W2546220600 hasRelatedWork W4317422767 @default.
- W2546220600 hasRelatedWork W4319752445 @default.
- W2546220600 hasRelatedWork W4327772909 @default.
- W2546220600 hasRelatedWork W4386066417 @default.
- W2546220600 hasRelatedWork W4386688692 @default.
- W2546220600 hasRelatedWork W2345184372 @default.
- W2546220600 isParatext "false" @default.
- W2546220600 isRetracted "false" @default.
- W2546220600 magId "2546220600" @default.
- W2546220600 workType "article" @default.