Indrajit dawn (9 risultati)
- Brossura
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 64,27
EUR 3,45 spedizioneSpedito in U.S.A.Quantità: 4 disponibili
Condizione: New.
- Brossura
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 72,26
EUR 11,65 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.
- Brossura
Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 34,25
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Kartoniert / Broschiert. Condizione: New.
- Brossura
- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 39,90
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This project mainly aims to analyze the sentiment of a person using Deep Learning. Deep Learning is the latest process to help analyze near-perfect sentiments. It feeds a lot of data to the algorithm and in the process adjusts itse…lf to constantly progress in the prediction process. Sentiment analysis is a type of data mining that measures the proclivity of human opinions through Natural Language Processing (NLP), computational linguistics and text analysis, which are used to extract and analyze subjective information from the Web-mostly social media and similar sources. It is the understanding and arrangement of emotions (positive, negative and neutral) within text data using text analysis techniques.Apart from this, there is a social platform named as Twitter, where people express their views related to various current issues in the form of emotion token as well as symbol. So it becomes a great source to work on, where people having different languages but can express using emotion symbols. The social media has even dark side. Here in this work we also differentiate between fake and original news using sentiment analysis. 80 pp. Englisch.
- Brossura
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 63,33
EUR 7,58 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Condizione: New. Print on Demand.
- Brossura
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 65,22
EUR 9,95 spedizioneSpedito da Germania a U.S.A.Quantità: 4 disponibili
Condizione: New. PRINT ON DEMAND.
- Brossura
- Print on Demand
Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 34,25
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dawn IndrajitMr. Indrajit has completed his Master of Technology (M. Tech) in Computer Science & Engineering and Bachelor of Technology (B. Tech) from Maulana Abul Kalam Azad University of Technology (…Formerly known as WBUT), West Be.
- Brossura
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 39,90
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This project mainly aims to analyze the sentiment of a person using Deep Learning. Deep Learning is the latest process to help analyze near-perfect sentiments. It feeds a lot of data to the algorithm and in the process adjusts itself t…o constantly progress in the prediction process. Sentiment analysis is a type of data mining that measures the proclivity of human opinions through Natural Language Processing (NLP), computational linguistics and text analysis, which are used to extract and analyze subjective information from the Web-mostly social media and similar sources. It is the understanding and arrangement of emotions (positive, negative and neutral) within text data using text analysis techniques.Apart from this, there is a social platform named as Twitter, where people express their views related to various current issues in the form of emotion token as well as symbol. So it becomes a great source to work on, where people having different languages but can express using emotion symbols. The social media has even dark side. Here in this work we also differentiate between fake and original news using sentiment analysis.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch.
- Brossura
- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 40,89
EUR 60,69 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This project mainly aims to analyze the sentiment of a person using Deep Learning. Deep Learning is the latest process to help analyze near-perfect sentiments. It feeds a lot of data to the algorithm and in the process adjusts itself to… constantly progress in the prediction process. Sentiment analysis is a type of data mining that measures the proclivity of human opinions through Natural Language Processing (NLP), computational linguistics and text analysis, which are used to extract and analyze subjective information from the Web-mostly social media and similar sources. It is the understanding and arrangement of emotions (positive, negative and neutral) within text data using text analysis techniques.Apart from this, there is a social platform named as Twitter, where people express their views related to various current issues in the form of emotion token as well as symbol. So it becomes a great source to work on, where people having different languages but can express using emotion symbols. The social media has even dark side. Here in this work we also differentiate between fake and original news using sentiment analysis.
