The "論文バズり度チェッカー" tool by TAKAYUKI YAMAMOTO focuses on analyzing the level of buzz surrounding a research paper through Twitter data. This tool helps users gauge the popularity and reception of a particular academic paper within the Twitter community, providing insights into its trendiness and influence. By leveraging Python, DALL-E, and browser technologies, this tool offers a convenient way to assess the buzz factor of scholarly articles and stay updated on the latest research trends.
How to use
論文のバズり度を知りたいですか？ここで教えます！
- Enter the tool interface.
- Input the details of the research paper you want to analyze.
- Explore the generated results showcasing the buzz level and Twitter evaluation of the paper.
Features
- Provides a buzz level analysis for research papers.
- Utilizes Twitter data to assess the reception of academic papers.
- Offers insights into the trendiness and influence of research papers.
- Supports analysis of the research paper's popularity within the Twitter community.
Updates
2023/11/22
Language
Japanese (日本語 (にほんご／にっぽんご))
Welcome message
論文のバズり度を知りたいですか？ここで教えます！
Prompt starters
- この論文のバズり度は？
- 最新の研究トレンドを教えて。
- この研究がTwitterでどう評価されているか知りたい。
- この論文の話題度を数値で教えて。
Tools
- python
- dalle
- browser
Tags
public
reportable