| Presentation | 2022-05-27 [Poster Presentation] Performance Evaluation of Twitter Classification on Pre-Trained Model by Word Embeddings Haruki Kimura, Incheon Paik, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The Internet is used as social infrastructure to such an extent that modern society would not be possible without it. With the development of the Internet, various data has been accumulated on the Web. What I would like to focus on here are social networking services. Today, we live in an age where everyone can send out information, and the information sent out by individuals on SNS contains a variety of emotions. If we can analyze this information, we can apply it to various things. We will use the data collected from Twitter to analyze emotions. In 2018, a natural language processing model called BERT was released by Google. A previous study compared BERT with earlier methods and showed that BERT effectively analyzes Twitter sentiment. In this study, we use a model that has already been pre-trained and compare the accuracy by changing the batch size and data size. As a result, we were able to get better results than the previous study by reducing the batch size and data size. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | natural language processing / Twitter / sentiment analysis / BERT |
| Paper # | SC2022-15 |
| Date of Issue | 2022-05-20 (SC) |
| Conference Information | |
| Committee | SC |
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| Conference Date | 2022/5/27(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | AI Service and Digital Transformation, and general topics |
| Chair | Shinji Kikuchi(NIMS) |
| Vice Chair | Yoji Yamato(NTT) / Kosaku Kimura(Fujitsu) |
| Secretary | Yoji Yamato(Kobe Univ.) / Kosaku Kimura(Tokyo Univ. of Tech.) |
| Assistant | Shin Tezuka(Hitachi) / Takao Nakaguchi(KCGI) |
| Paper Information | |
| Registration To | Technical Committee on Service Computing |
|---|---|
| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] Performance Evaluation of Twitter Classification on Pre-Trained Model by Word Embeddings |
| Sub Title (in English) | |
| Keyword(1) | natural language processing |
| Keyword(2) | |
| Keyword(3) | sentiment analysis |
| Keyword(4) | BERT |
| 1st Author's Name | Haruki Kimura |
| 1st Author's Affiliation | University of Aizu(UoA) |
| 2nd Author's Name | Incheon Paik |
| 2nd Author's Affiliation | University of Aizu(UoA) |
| Date | 2022-05-27 |
| Paper # | SC2022-15 |
| Volume (vol) | vol.122 |
| Number (no) | SC-50 |
| Page | pp.pp.88-92(SC), |
| #Pages | 5 |
| Date of Issue | 2022-05-20 (SC) |