Similarity-Based Weights For Cross-Domain Sentiment Classification Of Product Reviews
The unavailability of labelled data for a particular domain poses a challenge for training a classifier for sentiment detection in product reviews. Cross-domain sentiment analysis offers a solution to train models using labelled data from source domains and applying it to the target domain. However,...
Saved in:
主要作者: | Gupta, Aditi |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2023
|
主題: | |
在線閱讀: | http://eprints.usm.my/60238/1/24%20Pages%20from%20ADITI%20GUPTA.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
An Improved K-Nearest Neighbors Approach Using Modified Term Weighting And Similarity Coefficient For Text Classification
由: Kadhim, Ammar Ismael
出版: (2016) -
Medical Image Modality Classification using Feature Weighted Clustering Approach.
由: Chandra, Bhavik Anil
出版: (2010) -
Short Text Classification Using An Enhanced Term Weighting Scheme And Filter-Wrapper Feature Selection
由: Alsmadi, Issa Mohammad Ibrahim
出版: (2018) -
Multi Criteria Decision Making Approach For Product Aspect Extraction And Ranking In Aspect-Based Sentiment Analysis
由: Alrababah, Saif Addeen Ahmad Ali
出版: (2018) -
Deep Learning-Based Parking Detection System Using Structural Similarity
由: Ng, Chin Kit
出版: (2019)