infer
- Model
- Chart
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