Abstract
Transfer learning is an emerging research area which extracts knowledge from one or more than one source domains and utilizes this gained knowledge to perform some task in a target domain. It has emerged as a popular topic in recent years, because this technique is considered to be helpful in reducing the cost of labeling. It has many applications on different domains such as Natural Language Processing, Image and Video Processing, etc. The aim is to study transfer learning and implement it for Sentiment Analysis of Tweets by using the knowledge of Yelp reviews. We find that transfer Learning approach is faster than the conventional machine learning approach and give comparable accuracy at much smaller dataset.
Original language | English |
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Title of host publication | 2017 IEEE International Conference on Industrial and Information Systems, ICIIS 2017 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1-5 |
Number of pages | 5 |
ISBN (Electronic) | 9781538616741 |
DOIs | |
State | Published - 2 Jul 2017 |
Externally published | Yes |
Event | 12th IEEE International Conference on Industrial and Information Systems, ICIIS 2017 - Peradeniya, Sri Lanka Duration: 15 Dec 2017 → 16 Dec 2017 |
Publication series
Name | 2017 IEEE International Conference on Industrial and Information Systems, ICIIS 2017 - Proceedings |
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Volume | 2018-January |
Conference
Conference | 12th IEEE International Conference on Industrial and Information Systems, ICIIS 2017 |
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Country/Territory | Sri Lanka |
City | Peradeniya |
Period | 15/12/17 → 16/12/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Keywords
- Transfer Learning
- Yelp reviews
- knowledge transfer
- sentiment analysis