Latest Twitter Threads by @GrantHadlich on Thread Reader App

Aug 8, 2021 • 52 tweets • 57 min read

Each week I pull ~51000 tweets on US State mentions. Here's a collection of word clouds from tweets pulled on 2021-08-07. Each state + DC can be found in the replies!
#Python #USA #WordCloud #TwitterData

Each week I pull ~51000 tweets on US State mentions. Here's the word cloud for #Alabama from tweets pulled on 2021-08-07!
#Python #WordCloud #TwitterData

Aug 8, 2021 • 7 tweets • 12 min read

How negative was my Twitter feed in the last few hours? In the replies are a few models that analyze the sentiment of my home timeline feed on Twitter for the last 24 hours using the Twitter API.
GitHub: github.com/ghadlich/Daily…
#NLP #Python

I analyzed the sentiment on the last 253 tweets from my home feed using a pretrained #BERT model from #huggingface. A majority (70.0%) were classified as negative.
#Python #NLP #Classification #Sentiment #GrantBot

Aug 8, 2021 • 7 tweets • 12 min read

I analyzed the sentiment on the last 272 tweets from my home feed using a pretrained #BERT model from #huggingface. A majority (69.9%) were classified as negative.
#Python #NLP #Classification #Sentiment #GrantBot

Aug 7, 2021 • 7 tweets • 11 min read

Each week I pull ~51000 tweets on US State mentions and do sentiment analysis. Most positive state was #Maine according to an ensemble model! In the replies are the individual models.
GitHub: github.com/ghadlich/State…
#NLP #Python #ML

I analyzed the sentiment on Twitter for each state + DC from the last week using a pretrained #BERT model from #huggingface.
Which state had the most positive mentions this week? It was #Maine!
#NLP #Python #ML

Aug 7, 2021 • 7 tweets • 12 min read

I analyzed the sentiment on the last 378 tweets from my home feed using a pretrained #BERT model from #huggingface. A majority (68.0%) were classified as negative.
#Python #NLP #Classification #Sentiment #GrantBot

Aug 7, 2021 • 7 tweets • 12 min read

I analyzed the sentiment on the last 476 tweets from my home feed using a pretrained #BERT model from #huggingface. A majority (70.0%) were classified as negative.
#Python #NLP #Classification #Sentiment #GrantBot

Aug 6, 2021 • 7 tweets • 12 min read

I analyzed the sentiment on the last 528 tweets from my home feed using a pretrained #BERT model from #huggingface. A majority (68.0%) were classified as negative.
#Python #NLP #Classification #Sentiment #GrantBot

Aug 6, 2021 • 7 tweets • 12 min read

I analyzed the sentiment on the last 569 tweets from my home feed using a pretrained #BERT model from #huggingface. A majority (65.4%) were classified as negative.
#Python #NLP #Classification #Sentiment #GrantBot

Aug 1, 2021 • 52 tweets • 57 min read

Each week I pull ~51000 tweets on US State mentions. Here's a collection of word clouds from tweets pulled on 2021-07-31. Each state + DC can be found in the replies!
#Python #USA #WordCloud #TwitterData

Each week I pull ~51000 tweets on US State mentions. Here's the word cloud for #Alabama from tweets pulled on 2021-07-31!
#Python #WordCloud #TwitterData

Aug 1, 2021 • 7 tweets • 12 min read

I analyzed the sentiment on the last 239 tweets from my home feed using a pretrained #BERT model from #huggingface. A majority (61.1%) were classified as negative.
#Python #NLP #Classification #Sentiment #GrantBot

Aug 1, 2021 • 7 tweets • 12 min read

I analyzed the sentiment on the last 288 tweets from my home feed using a pretrained #BERT model from #huggingface. A majority (65.6%) were classified as negative.
#Python #NLP #Classification #Sentiment #GrantBot

Jul 31, 2021 • 7 tweets • 11 min read

Each week I pull ~51000 tweets on US State mentions and do sentiment analysis. Most positive state was #Utah according to an ensemble model! In the replies are the individual models.
GitHub: github.com/ghadlich/State…
#NLP #Python #ML

Jul 31, 2021 • 7 tweets • 12 min read

I analyzed the sentiment on the last 412 tweets from my home feed using a pretrained #BERT model from #huggingface. A majority (67.5%) were classified as negative.
#Python #NLP #Classification #Sentiment #GrantBot

Jul 31, 2021 • 7 tweets • 12 min read

I analyzed the sentiment on the last 499 tweets from my home feed using a pretrained #BERT model from #huggingface. A majority (63.3%) were classified as negative.
#Python #NLP #Classification #Sentiment #GrantBot

Jul 30, 2021 • 7 tweets • 12 min read

I analyzed the sentiment on the last 517 tweets from my home feed using a pretrained #BERT model from #huggingface. A majority (62.9%) were classified as negative.
#Python #NLP #Classification #Sentiment #GrantBot

Jul 30, 2021 • 7 tweets • 12 min read

I analyzed the sentiment on the last 600 tweets from my home feed using a pretrained #BERT model from #huggingface. A majority (64.3%) were classified as negative.
#Python #NLP #Classification #Sentiment #GrantBot

Share this page!

Enter URL or ID to Unroll