Matches in SemOpenAlex for { <https://semopenalex.org/work/W128871541> ?p ?o ?g. }
Showing items 1 to 55 of
55
with 100 items per page.
- W128871541 endingPage "288" @default.
- W128871541 startingPage "279" @default.
- W128871541 abstract "Identifying sentiments is a natural language processing prob-lem that became popular lately with the advent of various forums and social networks on the Internet. In this paper the analysis will focus on opinions that can evoke either positive or negative feelings in people. Most of the existing researches on textual information processing focus on data mining and fact analysis such as information retrieval, web search, text classification, clustering and many other types of natural language processing, unlike opinion analysis, especially for texts written in Macedonian." @default.
- W128871541 created "2016-06-24" @default.
- W128871541 creator A5006536056 @default.
- W128871541 creator A5048092443 @default.
- W128871541 date "2015-01-01" @default.
- W128871541 modified "2023-09-27" @default.
- W128871541 title "Sentiment Analysis of Movie Reviews Written in Macedonian Language" @default.
- W128871541 cites W1976526581 @default.
- W128871541 cites W1982611008 @default.
- W128871541 cites W2017238344 @default.
- W128871541 cites W2133990480 @default.
- W128871541 cites W2155328222 @default.
- W128871541 cites W2166706824 @default.
- W128871541 doi "https://doi.org/10.1007/978-3-319-09879-1_28" @default.
- W128871541 hasPublicationYear "2015" @default.
- W128871541 type Work @default.
- W128871541 sameAs 128871541 @default.
- W128871541 citedByCount "4" @default.
- W128871541 countsByYear W1288715412015 @default.
- W128871541 countsByYear W1288715412016 @default.
- W128871541 countsByYear W1288715412021 @default.
- W128871541 crossrefType "book-chapter" @default.
- W128871541 hasAuthorship W128871541A5006536056 @default.
- W128871541 hasAuthorship W128871541A5048092443 @default.
- W128871541 hasConcept C138885662 @default.
- W128871541 hasConcept C204321447 @default.
- W128871541 hasConcept C2777642646 @default.
- W128871541 hasConcept C41008148 @default.
- W128871541 hasConcept C41895202 @default.
- W128871541 hasConcept C66402592 @default.
- W128871541 hasConceptScore W128871541C138885662 @default.
- W128871541 hasConceptScore W128871541C204321447 @default.
- W128871541 hasConceptScore W128871541C2777642646 @default.
- W128871541 hasConceptScore W128871541C41008148 @default.
- W128871541 hasConceptScore W128871541C41895202 @default.
- W128871541 hasConceptScore W128871541C66402592 @default.
- W128871541 hasLocation W1288715411 @default.
- W128871541 hasOpenAccess W128871541 @default.
- W128871541 hasPrimaryLocation W1288715411 @default.
- W128871541 hasRelatedWork W2292426972 @default.
- W128871541 hasRelatedWork W2313583667 @default.
- W128871541 hasRelatedWork W2326619756 @default.
- W128871541 hasRelatedWork W2408447485 @default.
- W128871541 hasRelatedWork W2739593081 @default.
- W128871541 hasRelatedWork W2901590103 @default.
- W128871541 hasRelatedWork W2972715936 @default.
- W128871541 hasRelatedWork W2997013919 @default.
- W128871541 hasRelatedWork W3027466640 @default.
- W128871541 hasRelatedWork W3201886082 @default.
- W128871541 isParatext "false" @default.
- W128871541 isRetracted "false" @default.
- W128871541 magId "128871541" @default.
- W128871541 workType "book-chapter" @default.