Reddit’s subreddit recommendation engine based on deep neural network & sentiment analysis
This paper attempts to develop a model-based subreddit recommendation engine that includes the sentiment of the user interaction when providing recommendations. Sentiment was integrated into an LSTM-based collaborative filtering recommendation engine with the aid of Dirichlet probability distributio...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
Nanyang Technological University
2020
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/137895 |
| _version_ | 1811697245861445632 |
|---|---|
| author | Song, Qiu Xuan |
| author2 | Li Fang |
| author_facet | Li Fang Song, Qiu Xuan |
| author_sort | Song, Qiu Xuan |
| collection | NTU |
| description | This paper attempts to develop a model-based subreddit recommendation engine that includes the sentiment of the user interaction when providing recommendations. Sentiment was integrated into an LSTM-based collaborative filtering recommendation engine with the aid of Dirichlet probability distribution to better identify user preferences such that recommendation quality can be improve. A Recurrent Neural Network approach to sentiment analysis was explored and a GRU-based sentiment analyser was implemented to analyse the sentiment of user historical interactions. |
| first_indexed | 2024-10-01T07:52:12Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/137895 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:52:12Z |
| publishDate | 2020 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1378952020-05-07T07:30:45Z Reddit’s subreddit recommendation engine based on deep neural network & sentiment analysis Song, Qiu Xuan Li Fang School of Computer Science and Engineering Agency for Science, Technology and Research Wang Zhaoxia ASFLi@ntu.edu.sg; wangz@ihpc.a-star.edu.sg; Engineering::Computer science and engineering This paper attempts to develop a model-based subreddit recommendation engine that includes the sentiment of the user interaction when providing recommendations. Sentiment was integrated into an LSTM-based collaborative filtering recommendation engine with the aid of Dirichlet probability distribution to better identify user preferences such that recommendation quality can be improve. A Recurrent Neural Network approach to sentiment analysis was explored and a GRU-based sentiment analyser was implemented to analyse the sentiment of user historical interactions. Bachelor of Engineering (Computer Science) 2020-04-17T06:44:15Z 2020-04-17T06:44:15Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/137895 en SCSE19-0124 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering Song, Qiu Xuan Reddit’s subreddit recommendation engine based on deep neural network & sentiment analysis |
| title | Reddit’s subreddit recommendation engine based on deep neural network & sentiment analysis |
| title_full | Reddit’s subreddit recommendation engine based on deep neural network & sentiment analysis |
| title_fullStr | Reddit’s subreddit recommendation engine based on deep neural network & sentiment analysis |
| title_full_unstemmed | Reddit’s subreddit recommendation engine based on deep neural network & sentiment analysis |
| title_short | Reddit’s subreddit recommendation engine based on deep neural network & sentiment analysis |
| title_sort | reddit s subreddit recommendation engine based on deep neural network sentiment analysis |
| topic | Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/137895 |
| work_keys_str_mv | AT songqiuxuan redditssubredditrecommendationenginebasedondeepneuralnetworksentimentanalysis |