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* add first iteration of content for Terminal Pro * Update index.md * Update dashboards.md * Update folders.md * Update grouping.md * Update report.md * Update templates.md * Update quick-start.md * Update index.md * Update index.md * Update home.md * Update news.md * Update index.md * Update index.md * Update index.md * Update data-provider.md * Update chat-with-widget.md * Update data-manipulation.md * Update forecasting.md * fix: images self closing tags * fix: only pro visitors can see pro * inter font * improve SEO content and restructuring * add new package for toggle on tutorials * move folder around * improve main page of each prod * small updates and improvements * fix logo above * small improvement in headtitle for portfolio funcs * fix typos from OpenAI's GPT-4 * fix _category_ json * remove generic SEO words * add script that generates SEO for documentation * add missing file * remove sdk warning message * fix links for andrew --------- Co-authored-by: jose-donato <zmcdonato@gmail.com> Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com> Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
1.1 KiB
Vendored
1.1 KiB
Vendored
title, description, keywords
| title | description | keywords | ||||||
|---|---|---|---|---|---|---|---|---|
| text_sent | Learn how to use the Text Sentiment Analysis function of OpenBB's Reddit Model. Understand the sentiment of a post and related comments, providing valuable insights into stock market trends. |
|
import HeadTitle from '@site/src/components/General/HeadTitle.tsx';
Find the sentiment of a post and related comments.
Source Code: [link]
openbb.stocks.ba.text_sent(post_data: List[str])
Parameters
| Name | Type | Description | Default | Optional |
|---|---|---|---|---|
| post_data | list[str] | A post and its comments in string form | None | False |
Returns
| Type | Description |
|---|---|
| float | A number in the range [-1, 1] representing sentiment |