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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

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title, description, keywords
title description keywords
infer The documentation guide on 'infer', a tool used for quick sentiment inference from latest tweets that contain the ticker using vader sentiment analysis. It provides parameters to set the tweet limit and also includes examples of usage
infer
vader sentiment analysis
Twitter
tweets
sentiment inference
stock
limit

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

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]

Usage

infer [-l LIMIT]

Parameters

Name Description Default Optional Choices
limit limit of latest tweets to infer from. 100 True None

Examples

2022 Feb 19, 13:05 (🦋) /stocks/ba/ $ infer
From: 2022-02-19 17:08:20
To:   2022-02-19 18:04:18
100 tweets were analyzed.
Frequency of approx 1 tweet every 34 seconds.
The summed compound sentiment of AAPL is: 13.2
The average compound sentiment of AAPL is: 0.13
Of the last 100 tweets, 45.00 % had a higher positive sentiment
Of the last 100 tweets, 18.00 % had a higher negative sentiment