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OpenBB/website/content/sdk/reference/stocks/ba/infer.md
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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>
2023-10-30 21:01:29 +00:00

2.2 KiB
Vendored

title, description, keywords
title description keywords
infer This page is a detailed guide for using OpenBB's terminal to access and analyze Twitter data, providing tips for inferring market sentiment from tweets and visualizing data.
terminal guidance
Twitter data analysis
market sentiment
social media analytics
VADER sentiment analysis
data visualization
programming code

import HeadTitle from '@site/src/components/General/HeadTitle.tsx';

import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem';

Load tweets from twitter API and analyzes using VADER.

Source Code: [link]

openbb.stocks.ba.infer(symbol: str, limit: int = 100, start_date: Optional[str] = "", end_date: Optional[str] = "")

Parameters

Name Type Description Default Optional
symbol str Ticker symbol to search twitter for None False
limit int Number of tweets to analyze 100 True
start_date Optional[str] If given, the start time to get tweets from True
end_date Optional[str] If given, the end time to get tweets from True

Returns

Type Description
pd.DataFrame Dataframe of tweets and sentiment

Prints Inference sentiment from past n tweets.

Source Code: [link]

openbb.stocks.ba.infer_chart(symbol: str, limit: int = 100, export: str = "")

Parameters

Name Type Description Default Optional
symbol str Stock ticker symbol None False
limit int Number of tweets to analyze 100 True
export str Format to export tweet dataframe True

Returns

This function does not return anything