Indrajit Dawn (9 results)
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
Contact seller4-star sellerCondition: New
£ 55.15
£ 2.96 shippingShips within U.S.A.Quantity: 4 available
Condition: New.
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
£ 60.19
£ 10.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.
- Softcover
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
£ 30.27
£ 42.04 shippingShips from Germany to U.S.A.Quantity: Over 20 available
Kartoniert / Broschiert. Condition: New.
Language: English
Published by LAP LAMBERT Academic Publishing Aug 2020, 2020
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
Contact seller5-star sellerCondition: New
£ 35.27
£ 19.73 shippingShips from Germany to U.S.A.Quantity: 2 available
Taschenbuch. Condition: 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 itsel…f 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.
- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
Contact seller4-star sellerCondition: New
£ 54.34
£ 6.50 shippingShips from United Kingdom to U.S.A.Quantity: 4 available
Condition: New. Print on Demand.
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
Contact seller4-star sellerCondition: New
£ 57.64
£ 8.54 shippingShips from Germany to U.S.A.Quantity: 4 available
Condition: New. PRINT ON DEMAND.
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
£ 30.27
£ 42.04 shippingShips from Germany to U.S.A.Quantity: Over 20 available
Condition: 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 (F…ormerly known as WBUT), West Be.
Language: English
Published by LAP LAMBERT Academic Publishing Aug 2020, 2020
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
Contact seller5-star sellerCondition: New
£ 35.27
£ 51.48 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: 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 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch.
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 36.14
£ 52.07 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: 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.
