TE
科技回声
首页24小时热榜最新最佳问答展示工作
GitHubTwitter
首页

科技回声

基于 Next.js 构建的科技新闻平台,提供全球科技新闻和讨论内容。

GitHubTwitter

首页

首页最新最佳问答展示工作

资源链接

HackerNews API原版 HackerNewsNext.js

© 2025 科技回声. 版权所有。

How to Build a Social Media Sentiment Analysis Pipeline

1 点作者 arthurdelerue大约 1 年前

1 comment

arthurdelerue大约 1 年前
Social media like Reddit, Hacker News, Twitter, etc. contain tons of genuine discussions that you might want to analyze automatically with sentiment analysis. For example you might want to monitor what people say about you, your product, your competitors, etc.<p>This is an article I just wrote that shows how to implement such a sentiment analysis pipeline using the following steps:<p>- Implement social media listening<p>- Integrate the data in your system with an API webhook processed in Python&#x2F;FastAPI<p>- Analyze the sentiment thanks to generative AI models like GPT-4, LLaMA 3, ChatDolphin, etc.<p>I hope you will find it useful. If you have some comments about how to improve this pipeline I would love to hear them!