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Textual Sentimental Analysis using Natural Language Processing
Details
Sentimental analysis is an important application of Natural language processing. Emotions play a major role in expressing the feelings among human beings. Sentimental analysis is a technique that is used to study people's emotions, attitudes, sentiments & opinions. Opinion is nothing but the person's feeling reaction towards some topic. This book is based on the end-to-end procedure of how we can perform Textual Sentimental Analysis using Natural Language Processing with the help of Machine Learning Algorithms SVM & NBC based on the Twitter Dataset.
Autorentext
Ahmed, JavaidJavaid Ahmed is a passionate Electrical Telecommunication Engineer and a Data Scientist. His expertise are in Communication Systems, Signal Processing, Computer Networking and Data Science. This book is reflecting his work towards Data Science during his graduation.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09786204204246
- Größe H220mm x B150mm
- EAN 9786204204246
- Titel Textual Sentimental Analysis using Natural Language Processing
- Autor Javaid Ahmed
- Untertitel with the help of Machine Learning Algorithms SVM & NBC based on Twitter Dataset
- Herausgeber LAP Lambert Academic Publishing
- Anzahl Seiten 140
- Genre Linguistics & Literature