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Re-evaluate the selection of the `saotd` package for sentiment analysis from https://github.com/mjhendrickson/rtweet-sentiment-analysis/issues/2
`saotd` keys off of topics or hashtags from tweets, …
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This project conducts a comprehensive analysis of Twitter data, encompassing data preprocessing, sentiment analysis, user categorization and machine learning modeling. It begins by cleaning and prepar…
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Look on https://hf.co/datasets for more useful datasets
Unlabeled:
- [x] https://huggingface.co/datasets/mjw/stock_market_tweets -> 1.7 million stock market tweets about Apple, Amazon, Google, Mi…
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**Title: Implement Sentiment Analysis on Twitter Data**
**Description:**
This issue covers the implementation of a sentiment analysis pipeline for Twitter data using machine learning models.…
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**Coach assistant:** @ghaisani
**Sanity checks:**
* [x] GitHub profile photo + detailed profile description
**Organizations:**
1. CLiPS, University of Antwerp
2. SymPy
3.
**Ideas:**…
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In twitter.py file https://github.com/openp2pdesign/platform_analysis/blob/master/platform_analysis/twitter.py
https://developer.twitter.com/en/docs/twitter-api/tweets/timelines/api-reference/get-…
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**Assignees:** @ridhofadilah
**Sanity checks:**
* [x] GitHub profile photo + detailed profile description
**Organizations:**
1. aimacode
2. submitty
3. CLiPS, University of Antwerp
**…
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1) Device tweeted from
2) Timestamps
3) RTs (Re-tweets)
4) Routing the data to Google Cloud for Sentiment Analysis
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I am running a sentiment analysis on a large corpus of tweets in R. VADER successfully returned sentiment scores for all but five tweets, which returned 'ERROR' in the word scores field. Upon inspecti…
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**Coach assistant:** @NoveltyOFD
**Sanity checks:**
* [x] GitHub profile photo + detailed profile description
**Organizations:**
1. aimacode
2. Boost C++ Libraries
3. CLiPS, University …