Matches in SemOpenAlex for { <https://semopenalex.org/work/W2092543485> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2092543485 abstract "There has been a lot of research on the application of data mining or knowledge discovery in financial market predictions. In those researches, various data mining techniques are applied to predict stock price trends, index values, currency exchange rates, volatilities etc. However, most of the existing studies in this area are based on numeric and structured data for example, historical price quotes, financial statements, interest and tax rates or with other quantifiable figures. Studies on mining textual and unstructured information like news, recommendation and comments from experts, postings from online forums and chat rooms, personal blogs and so on seems to be only an emerging area of study. The available textual data on the internet is usually of huge quantity and is much more informative than purely numeric information. This information helps people to identify the market behavior from a piece of financial news but also understand the reason why the market behaves this way. The purpose of this thesis is to explore this emerging research area and to give comprehensive experiments and comparisons on applications of various textual data mining techniques on financial market predictions." @default.
- W2092543485 created "2016-06-24" @default.
- W2092543485 creator A5045887841 @default.
- W2092543485 creator A5087427979 @default.
- W2092543485 date "2013-07-01" @default.
- W2092543485 modified "2023-09-25" @default.
- W2092543485 title "Multiphase text mining predictor for market analysis" @default.
- W2092543485 cites W1970974276 @default.
- W2092543485 cites W1978394996 @default.
- W2092543485 cites W2058616517 @default.
- W2092543485 cites W2072664345 @default.
- W2092543485 cites W2072773380 @default.
- W2092543485 cites W2081737938 @default.
- W2092543485 cites W2118067958 @default.
- W2092543485 cites W2121537574 @default.
- W2092543485 cites W2147152072 @default.
- W2092543485 cites W2152430224 @default.
- W2092543485 cites W2159637323 @default.
- W2092543485 cites W4242870862 @default.
- W2092543485 doi "https://doi.org/10.1109/icctet.2013.6675990" @default.
- W2092543485 hasPublicationYear "2013" @default.
- W2092543485 type Work @default.
- W2092543485 sameAs 2092543485 @default.
- W2092543485 citedByCount "1" @default.
- W2092543485 countsByYear W20925434852022 @default.
- W2092543485 crossrefType "proceedings-article" @default.
- W2092543485 hasAuthorship W2092543485A5045887841 @default.
- W2092543485 hasAuthorship W2092543485A5087427979 @default.
- W2092543485 hasConcept C10138342 @default.
- W2092543485 hasConcept C110875604 @default.
- W2092543485 hasConcept C124101348 @default.
- W2092543485 hasConcept C136764020 @default.
- W2092543485 hasConcept C141121606 @default.
- W2092543485 hasConcept C144133560 @default.
- W2092543485 hasConcept C151730666 @default.
- W2092543485 hasConcept C154945302 @default.
- W2092543485 hasConcept C162324750 @default.
- W2092543485 hasConcept C162853370 @default.
- W2092543485 hasConcept C19244329 @default.
- W2092543485 hasConcept C2522767166 @default.
- W2092543485 hasConcept C27564746 @default.
- W2092543485 hasConcept C2777382242 @default.
- W2092543485 hasConcept C2780299701 @default.
- W2092543485 hasConcept C2780762169 @default.
- W2092543485 hasConcept C41008148 @default.
- W2092543485 hasConcept C556758197 @default.
- W2092543485 hasConcept C66402592 @default.
- W2092543485 hasConcept C86803240 @default.
- W2092543485 hasConceptScore W2092543485C10138342 @default.
- W2092543485 hasConceptScore W2092543485C110875604 @default.
- W2092543485 hasConceptScore W2092543485C124101348 @default.
- W2092543485 hasConceptScore W2092543485C136764020 @default.
- W2092543485 hasConceptScore W2092543485C141121606 @default.
- W2092543485 hasConceptScore W2092543485C144133560 @default.
- W2092543485 hasConceptScore W2092543485C151730666 @default.
- W2092543485 hasConceptScore W2092543485C154945302 @default.
- W2092543485 hasConceptScore W2092543485C162324750 @default.
- W2092543485 hasConceptScore W2092543485C162853370 @default.
- W2092543485 hasConceptScore W2092543485C19244329 @default.
- W2092543485 hasConceptScore W2092543485C2522767166 @default.
- W2092543485 hasConceptScore W2092543485C27564746 @default.
- W2092543485 hasConceptScore W2092543485C2777382242 @default.
- W2092543485 hasConceptScore W2092543485C2780299701 @default.
- W2092543485 hasConceptScore W2092543485C2780762169 @default.
- W2092543485 hasConceptScore W2092543485C41008148 @default.
- W2092543485 hasConceptScore W2092543485C556758197 @default.
- W2092543485 hasConceptScore W2092543485C66402592 @default.
- W2092543485 hasConceptScore W2092543485C86803240 @default.
- W2092543485 hasLocation W20925434851 @default.
- W2092543485 hasOpenAccess W2092543485 @default.
- W2092543485 hasPrimaryLocation W20925434851 @default.
- W2092543485 hasRelatedWork W1889087803 @default.
- W2092543485 hasRelatedWork W2094978649 @default.
- W2092543485 hasRelatedWork W2156023428 @default.
- W2092543485 hasRelatedWork W2541280461 @default.
- W2092543485 hasRelatedWork W2798287406 @default.
- W2092543485 hasRelatedWork W2893344808 @default.
- W2092543485 hasRelatedWork W3032918179 @default.
- W2092543485 hasRelatedWork W3120331392 @default.
- W2092543485 hasRelatedWork W3168762973 @default.
- W2092543485 hasRelatedWork W4312822462 @default.
- W2092543485 isParatext "false" @default.
- W2092543485 isRetracted "false" @default.
- W2092543485 magId "2092543485" @default.
- W2092543485 workType "article" @default.