[HackMD 使用教學](/fNYeUVJNQr6G6ZA5nwn9oA) [HackMD 快速入門教學](/GinelCA0ThGlIDP1TJ19HA) **目錄清單** [TOC] 資料獲取 === **Twint:** >Twitter信息爬取工具,可以在不使用TwitterAPI情況下,爬取特定用戶上的推文。 GitHub:[https://github.com/twintproject/twint](https://github.com/twintproject/twint) **安裝指令**: ``` pip3 install twint ``` **<font color="red">若出現問題可以嘗試安裝 Visual C++ 環境 </font>** **建議安裝**: >Visual C++環境 || [Vsiual Studio Build Tools](https://visualstudio.microsoft.com/zh-hant/downloads/) 參考、引用論文 === | 論文名稱 | 引用技術 | date | |:-------- |:-------- |:-----| | [Twitter mood predicts the stock market](https://arxiv.org/abs/1010.3003) | namely OpinionFinder that measures positive vs. negative mood and Google-Profile of Mood States (GPOMS) | Thu, 14 Oct 2010 18:55:52 UTC | |[Tweet Influence on Market Trends: Analyzing the Impact of Social Media Sentiment on Biotech Stocks](https://arxiv.org/abs/2402.03353)| VADER sentiment analysis & ARIMA (AutoRegressive Integrated Moving Average) and VAR (Vector AutoRegression) models to forecast stock market performance|Fri, 26 Jan 2024 15:43:27 UTC| 情緒分析 === **VADER**: >(Valence Aware Dictionary and sEntiment Reasoner):一種基於規則的情感分析工具,專門用於分析社交媒體文本中的情感。 GitHub:[https://github.com/cjhutto/vaderSentiment](https://github.com/cjhutto/vaderSentiment)