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53 lines
1.3 KiB
Markdown
Vendored
53 lines
1.3 KiB
Markdown
Vendored
---
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title: infer
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description: The documentation guide on 'infer', a tool used for quick sentiment inference
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from latest tweets that contain the ticker using vader sentiment analysis. It provides
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parameters to set the tweet limit and also includes examples of usage
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keywords:
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- infer
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- vader sentiment analysis
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- Twitter
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- tweets
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- sentiment inference
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- stock
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- limit
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---
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import HeadTitle from '@site/src/components/General/HeadTitle.tsx';
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<HeadTitle title="stocks/ba/infer - Reference | OpenBB Terminal Docs" />
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Print quick sentiment inference from last tweets that contain the ticker. This model splits the text into character-level tokens and uses vader sentiment analysis. [Source: Twitter]
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### Usage
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```python
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infer [-l LIMIT]
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```
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---
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## Parameters
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| Name | Description | Default | Optional | Choices |
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| ---- | ----------- | ------- | -------- | ------- |
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| limit | limit of latest tweets to infer from. | 100 | True | None |
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---
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## Examples
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```python
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2022 Feb 19, 13:05 (🦋) /stocks/ba/ $ infer
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From: 2022-02-19 17:08:20
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To: 2022-02-19 18:04:18
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100 tweets were analyzed.
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Frequency of approx 1 tweet every 34 seconds.
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The summed compound sentiment of AAPL is: 13.2
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The average compound sentiment of AAPL is: 0.13
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Of the last 100 tweets, 45.00 % had a higher positive sentiment
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Of the last 100 tweets, 18.00 % had a higher negative sentiment
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```
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---
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