An evaluation of machine learning algorithms for tweet sentiment analysis
Sentiment analysis of tweets is an application of mining Twitter, and is growing in popularity as a means of determining public opinion. Machine learning algorithms are used to perform sentiment analysis; however, data quality issues such as high dimensionality, class imbalance or noise may negati...
Other Authors: | Prusa, Joseph D. (author) |
---|---|
Format: | Others |
Language: | English |
Published: |
Florida Atlantic University
|
Subjects: | |
Online Access: | http://purl.flvc.org/fau/fd/FA00004460 http://purl.flvc.org/fau/fd/FA00004460 |
Similar Items
-
A Review of Artificial Intelligence in the Internet of Things
by: Cristian González García, et al.
Published: (2019-03-01) -
Machine translation for everyone Empowering users in the age of artificial intelligence
Published: (2022) -
Design a Fuzzy Expert System for Liver and Pancreas Diseases Diagnosis
by: Baydaa Bhnam
Published: (2010-12-01) -
Role of Premises in Visual Question Answering
by: Mahendru, Aroma
Published: (2017) -
Learning language from ambiguous perceptual context
by: Chen, David Lieh-Chiang
Published: (2012)