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
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 #Utah! #NLP#Python#ML
I analyzed the sentiment on Twitter for each state + DC from the last week using a pretrained #VADER model from #NLTK.
Which state had the most positive mentions this week? It was #Nevada! #NLP#Python#ML
I analyzed the sentiment on Twitter for each state + DC from the last week using a #NaiveBayes model from #NLTK.
Which state had the most positive mentions this week? It was #Connecticut! #NLP#Python#ML
I analyzed the sentiment on Twitter for each state + DC from the last week using a pretrained #Flair model from #ZalandoSE.
Which state had the most positive mentions this week? It was #Maine! #NLP#Python#ML
I analyzed the sentiment on Twitter for each state + DC from the last week using a trained #DistilBert model from #huggingface.
Which state had the most positive mentions this week? It was #Maine! #NLP#Python#ML
I analyzed the sentiment on Twitter for each state + DC from the last week using a pretrained #TextBlob model.
Which state had the most positive mentions this week? It was #California! #NLP#Python#ML
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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
Each week I pull ~51000 tweets on US State mentions. Here's the word cloud for #Alaska from tweets pulled on 2021-08-07! #Python#WordCloud#TwitterData
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
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
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
I analyzed the sentiment on Twitter for each state + DC from the last week using a pretrained #VADER model from #NLTK.
Which state had the most positive mentions this week? It was #DistrictofColumbia! #NLP#Python#ML
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
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