Improving Alexa’s response with sentiment analysis and comparing various machine learning models-Reference-Cited by-同舟云学术

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Improving Alexa’s response with sentiment analysis and comparing various machine learning models

Published:2024-06-28 Issue: Volume:12 Page:1-6
ISSN:
Container-title:2024 International Conference on Circuit, Systems and Communication (ICCSC)
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Author:

Roy Dipankar¹,Bhaduri Aparna²,Maji Kalyan³,Mal Mithu⁴,Patra Joyjit⁵,Gupta Subir⁶

Affiliation:

1. Haldia Institute of Technology,Dept. of C.S.E(AIML).,Haldia,W.B,India

2. Dr. B. C. Roy Academy of Professional Courses,Dept. of Business Administration,Durgapur,West Bengal

3. Haldia Institute of Technology,Dept. of C.S.E. (D.S),Haldia,West Bengal

4. Bengal college of Engineering and Technology,Dept. of C.S.E.,West Bengal

5. Dr. BC Roy Engineering College,Dept. of C.S.E.,Durgapur,West Bengal

6. Haldia Institute of Technology,Dept. of C.S.E(AIML).,Haldia,West Bengal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10616390/10616394/10617303.pdf?arnumber=10617303

Reference14 articles.

1. Informal relations and communication about work-related problems in two multilingual crews

2. Evaluating deep learning approaches to characterize and classify the DGAs at scale

3. Connect the dots: Accessibility, readability and site ranking – An investigation with reference to top ranked websites of Government of India

4. Mathematical analysis and emulation of the fractional-order cubic flux-controlled memristor

5. Enabling Fog Complex Security Services in Mobile Cloud Environments

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