ArXiv Paper Summarizer: Python-Based Tool for arXiv Paper Summaries 70

What is ArXiv Paper Summarizer?

ArXiv Paper Summarizer is a Python-based arXiv paper summarization aitool that leverages the free Gemini API to extract and summarize paper content. It supports single/batch URL processing, keyword search, and daily automatic summarization, making it ideal for researchers to quickly obtain key information from literature.

Core Features of ArXiv Paper Summarizer

Single Paper Summarization: Input an ArXiv paper URL (must be the abstract page, not the PDF link) to generate a content summary.

Batch URL Summarization: Store multiple URLs in links.txt, process them all at once, and save the results to result.txt.

Keyword Search and Batch Summarization: Use keywords_summarizer.py to specify keywords (e.g., "transformer, sparsity") and a date range (e.g., 2017-2024) to automatically search for relevant papers and generate summaries.

Daily Automatic Summarization (via Google Apps Script): Configure keywords and a Google Doc to automatically retrieve new papers on a daily schedule and update the document with titles, links, and summaries. Supports custom execution time (e.g., midnight) and email notifications.

Use Cases of ArXiv Paper Summarizer

Quickly Obtain Research Progress: Researchers and students can quickly understand the latest developments in a specific field.

Track Research Trends: The keyword batch summarization feature allows tracking of new research trends.

Literature Review Assistance: Helps researchers quickly obtain the core content of relevant papers when writing literature reviews.

Installation and Configuration of ArXiv Paper Summarizer

1. Environment Requirements

• Python 3.11

• Conda (environment management)

• Gemini API key (obtain from Google)

2. Steps

# 克隆仓库
git clone https://github.com/Shaier/arxiv_summarizer.git
cd arxiv_summarizer
# 创建并激活Conda环境
conda create -n arxiv_summarizer python=3.11
conda activate arxiv_summarizer
# 安装依赖
pip install -r requirements.txt

3. Configure API Key

• Open url_summarize.py and replace YOUR_GEMINI_API_KEY on line 5 with your actual key.

• The automatic summarization feature requires configuring both docId (Google Doc ID) and apiKey in the daily_arxiv.txt script.

Usage Examples

Single Paper Summarization

python url_summarize.py
> 输入1（单篇）
> 输入URL：https://arxiv.org/abs/2410.08003

Batch URL Summarization

Add one URL per line in links.txt

Run:

python url_summarize.py
> 输入2（批量）

Keyword Search

python keywords_summarizer.py
> 输入关键词："machine learning, computer vision"
> 输入开始日期：2023-01-01
> 输入结束日期：2023-12-31

Daily Automatic Summarization Setup

Create a Google Doc

• Create a new document and copy the document ID from the URL (e.g., 123HEM4h5aQwygDk_A-xNaJ8CUoyMZTFsChyMk).

Configure Google Apps Script

• Go to Google Apps Script and create a new project.

• Paste the contents of daily_arxiv.txt into the editor, replacing docId, apiKey, and the keywords array.

Testing and Scheduling

• Run the script manually to test and confirm that the Google Doc is updated.

• Set up a daily scheduled trigger in "Triggers" (e.g., choose "Every day at midnight").

Github:https://github.com/Shaier/arxiv_summarizer