Matches in SemOpenAlex for { <https://semopenalex.org/work/W2811267087> ?p ?o ?g. }
Showing items 1 to 68 of
68
with 100 items per page.
- W2811267087 endingPage "603" @default.
- W2811267087 startingPage "595" @default.
- W2811267087 abstract "Stock market is a very volatile in-deterministic system with vast number of factors influencing the direction of trend on varying scales and multiple layers. Efficient Market Hypothesis (EMH) states that the market is unbeatable. This makes predicting the uptrend or downtrend a very challenging task. This research aims to combine multiple existing techniques into a much more robust prediction model which can handle various scenarios in which investment can be beneficial. Existing techniques like sentiment analysis or neural network techniques can be too narrow in their approach and can lead to erroneous outcomes for varying scenarios. By combing both techniques, this prediction model can provide more accurate and flexible recommendations. Embedding technical indicators will guide the investor to minimize the risk and reap better returns." @default.
- W2811267087 created "2018-07-10" @default.
- W2811267087 creator A5004645143 @default.
- W2811267087 creator A5064856008 @default.
- W2811267087 date "2018-07-04" @default.
- W2811267087 modified "2023-10-18" @default.
- W2811267087 title "Indian Stock Market Prediction Using Machine Learning and Sentiment Analysis" @default.
- W2811267087 cites W1667860197 @default.
- W2811267087 cites W2026724722 @default.
- W2811267087 cites W2053940438 @default.
- W2811267087 cites W2111247319 @default.
- W2811267087 cites W2533443122 @default.
- W2811267087 cites W2561559620 @default.
- W2811267087 doi "https://doi.org/10.1007/978-981-10-8055-5_53" @default.
- W2811267087 hasPublicationYear "2018" @default.
- W2811267087 type Work @default.
- W2811267087 sameAs 2811267087 @default.
- W2811267087 citedByCount "16" @default.
- W2811267087 countsByYear W28112670872020 @default.
- W2811267087 countsByYear W28112670872021 @default.
- W2811267087 countsByYear W28112670872022 @default.
- W2811267087 countsByYear W28112670872023 @default.
- W2811267087 crossrefType "book-chapter" @default.
- W2811267087 hasAuthorship W2811267087A5004645143 @default.
- W2811267087 hasAuthorship W2811267087A5064856008 @default.
- W2811267087 hasConcept C119857082 @default.
- W2811267087 hasConcept C149782125 @default.
- W2811267087 hasConcept C154945302 @default.
- W2811267087 hasConcept C162324750 @default.
- W2811267087 hasConcept C166957645 @default.
- W2811267087 hasConcept C204036174 @default.
- W2811267087 hasConcept C204321447 @default.
- W2811267087 hasConcept C2779343474 @default.
- W2811267087 hasConcept C2780299701 @default.
- W2811267087 hasConcept C41008148 @default.
- W2811267087 hasConcept C66402592 @default.
- W2811267087 hasConcept C95457728 @default.
- W2811267087 hasConceptScore W2811267087C119857082 @default.
- W2811267087 hasConceptScore W2811267087C149782125 @default.
- W2811267087 hasConceptScore W2811267087C154945302 @default.
- W2811267087 hasConceptScore W2811267087C162324750 @default.
- W2811267087 hasConceptScore W2811267087C166957645 @default.
- W2811267087 hasConceptScore W2811267087C204036174 @default.
- W2811267087 hasConceptScore W2811267087C204321447 @default.
- W2811267087 hasConceptScore W2811267087C2779343474 @default.
- W2811267087 hasConceptScore W2811267087C2780299701 @default.
- W2811267087 hasConceptScore W2811267087C41008148 @default.
- W2811267087 hasConceptScore W2811267087C66402592 @default.
- W2811267087 hasConceptScore W2811267087C95457728 @default.
- W2811267087 hasLocation W28112670871 @default.
- W2811267087 hasOpenAccess W2811267087 @default.
- W2811267087 hasPrimaryLocation W28112670871 @default.
- W2811267087 hasRelatedWork W2901590103 @default.
- W2811267087 hasRelatedWork W2975597301 @default.
- W2811267087 hasRelatedWork W3015597294 @default.
- W2811267087 hasRelatedWork W3021397509 @default.
- W2811267087 hasRelatedWork W3107602296 @default.
- W2811267087 hasRelatedWork W3192794374 @default.
- W2811267087 hasRelatedWork W3211448744 @default.
- W2811267087 hasRelatedWork W4200526184 @default.
- W2811267087 hasRelatedWork W4281608370 @default.
- W2811267087 hasRelatedWork W4285815787 @default.
- W2811267087 isParatext "false" @default.
- W2811267087 isRetracted "false" @default.
- W2811267087 magId "2811267087" @default.
- W2811267087 workType "book-chapter" @default.