When Siri knows how you feel : study of machine learning in automatic sentiment recognition from human speech
Opinions and sentiments are essential to human activities and have a wide variety of applications. As many decision makers turn to social media due to large volume of opinion data available, efficient and accurate sentiment analysis is necessary to extract those data. Hence, text sentiment analysis...
Saved in:
Main Authors: | Zhang, Liu, Ng, Eddie Yin Kwee |
---|---|
Other Authors: | School of Mechanical and Aerospace Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/146701 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
How intense are you? Predicting intensities of emotions and sentiments using stacked ensemble [application notes]
by: Akhtar, M. S., et al.
Published: (2021) -
Sentic API: A common-sense based API for concept-level sentiment analysis
by: Cambria, Erik, et al.
Published: (2017) -
Lexicon-based sentiment analysis: Comparative evaluation of six sentiment lexicons
by: Khoo, Christopher S. G., et al.
Published: (2017) -
Sentiment analysis for software engineering: How far can pre-trained transformer models go?
by: ZHANG, Ting, et al.
Published: (2020) -
Sentiment analysis : an automatic contextual analysis and ensemble clustering approach and comparison
by: AL-Sharuee, Murtadha Talib, et al.
Published: (2020)