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博士論文

限られた計算機資源やデータを有効利用した意見マイニング

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国立国会図書館デジタルコレクション

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DOI[10.18997/0002001049]to the data of the same series

限られた計算機資源やデータを有効利用した意見マイニング

Persistent ID (NDL)
info:ndljp/pid/13874054
Material type
博士論文
Author
Al-Mahmud,
Publisher
-
Publication date
2024-09-25
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
九州工業大学,博士（情報工学）
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Notes on use

Note (General)：

九州工業大学博士学位論文 学位記番号:情工博甲第402号 学位授与年月日:令和6年9月25日令和6年度

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Summary, etc.：

As the Internet’s role in daily communication expands, so does the practice of sharingopinions on platforms like Facebook, Twitter, and Amazon. This p...

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Table of Contents

Provided by：学術機関リポジトリデータベース（IRDB）（機関リポジトリ）Link to Help Page

  • 1 Introduction| 2 Basic Model and Technique| 3 Dataset Construction and Opinion Holder Detection Using Pre-Trained Models| 4 Demonstration of Effectiveness of Nativeness in Stepwise Learning by Performing Bangla Sentiment Analysis| 5 Dataset Construction and Evaluation for Aspect-Opinion Extraction in Bangla Fine-Grained Sentiment Analysis| 6 Demonstration of Effectiveness of Exploiting ChatGPT-Generated Data to the Transformers-Based Models by Performing Bangla Intent Analysis| 7 Conclusion

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Digital

Material Type
博士論文
Title
限られた計算機資源やデータを有効利用した意見マイニング
Author/Editor
Al-Mahmud,
Author Heading
Al-Mahmud,
Publication Date
2024-09-25
Publication Date (W3CDTF)
2024-09-25
Alternative Title
Opinion Mining by Utilizing Limited Computational Resources and Data
Degree grantor/type
九州工業大学
Date Granted
2024-09-25
Date Granted (W3CDTF)
2024-09-25