# gyanesh-m/Sentiment-analysis-of-financial-news-data

<https://repo.masters-masters.com/en/repos/gyanesh-m/Sentiment-analysis-of-financial-news-data>

[Home](https://repo.masters-masters.com/en) › [gyanesh-m](https://repo.masters-masters.com/en/owners/gyanesh-m) › [Sentiment-analysis-of-financial-news-data](https://repo.masters-masters.com/en/repos/gyanesh-m/Sentiment-analysis-of-financial-news-data)

gyanesh-m/Sentiment-analysis-of-financial-news-data has 135 stars on GitHub. Its RepoMasters card: Prototype tier. Sentiment Analysis of news on stock prices

| Field | Value |
| --- | --- |
| Owner | [gyanesh-m](https://repo.masters-masters.com/en/owners/gyanesh-m) |
| Stars | 135 |
| Forks | 44 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2017 |
| Topics | news-data, sentiment-analysis, nltk, scraper |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [gyanesh-m/Sentiment-analysis-of-financial-news-data](https://github.com/gyanesh-m/Sentiment-analysis-of-financial-news-data) |

## Repository

Sentiment Analysis of news on stock prices

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## Nearby in Python

- [Gamma-Robot/bfm\_ttc · ★ 135 · Python · Prototype](https://repo.masters-masters.com/en/repos/Gamma-Robot/bfm_ttc)
- [Coding-Doctor-Omar/reddrix · ★ 135 · Python · Prototype](https://repo.masters-masters.com/en/repos/Coding-Doctor-Omar/reddrix)
- [sanjayadanushka712/Neoarch · ★ 135 · Python · Prototype](https://repo.masters-masters.com/en/repos/sanjayadanushka712/Neoarch)
- [simonw/optfunc · ★ 135 · Python · Prototype](https://repo.masters-masters.com/en/repos/simonw/optfunc)
- [alexdej/puzpy · ★ 135 · Python · Prototype](https://repo.masters-masters.com/en/repos/alexdej/puzpy)
- [justquick/python-varnish · ★ 135 · Python · Prototype](https://repo.masters-masters.com/en/repos/justquick/python-varnish)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.