Top Tweets for #DistilBert
Hybrid Transformer-based Approaches for Suicidal Posts Detection
#MentalHealth #BERT #RoBERTa #MentalBERT #MentalRoBERTa #DistilBERT #DistilRoBERTa #DeepLearning #Transformer #CNN #BiLSTM
International Journal of Computers and Applications
#TJCA
https://t.co/ILlaRhdtnw
#Sentiment Analysis of #Wikipedia Articles About Companies: A Comparison of Different Models.
Comparative study of several #sentiment-analysis methods: #TextBlob, #VADER, #RoBERTa, #DistilBERT, #PySentimiento.
https://t.co/KmAAMWLdV6
🔍 Unleashed the power of #DistilBERT for sentiment analysis! 📊 This efficient model, a lighter version of BERT, helped decode customer emotions from text inputs with impressive accuracy. 🚀 #AI #NLP
How to process own data and train a model to extract answers from given contexts? We prepared a step-by-step guide about the power of NLP with Elixir.
Check our blog post here: https://t.co/JAHILtUZUy
#elixir #programming #distilbert
@AreejJabir will be introducing our work at ArAIEval Shared Task, explaining fine-tuning #Distilbert to Predict Arabic Disinformative Tweets, December 7, https://t.co/bWeuyoW7pc
Smaller, Faster, Cheaper, and Lighter - DistilBERT is changing the game in AI research. Get the inside scoop on how this breakthrough technology is shaping the future. #AI #DistilBERT #TechNews https://t.co/Z641r7rZIp
Excellent talk showing how #distilbert #nlp is being used to categorise content from CBT therapy sessions using large amounts of data collected. Great example of real-world application of these NLP methods, capturing the patient voice. #DriveHealthTranslation
👤A special thank you to our first keynote speaker, Michael Ewbank
Principal Scientist #iESO Health sharing your invaluable insight. 🎙️"Using deep learning models to understand the relationship between therapy content and treatment outcomes”
4/9: Looking for a lighter version of BERT? DistilBERT, by Hugging Face, is your answer. Fast, small, yet retaining 95% of BERT's performance, it's a game changer. Details: https://t.co/irVwI1DP2i #DistilBERT #AI
I just published Using #DistilBERT #transformer for writing #engaging #titles on #medium #mediumwriters #writingtips https://t.co/Akl8jynx8Z
#DistilBERT is a smaller and faster version of BERT, a popular pre-trained language model developed by Google. It has 40% fewer parameters than BERT and runs 60% faster, while still maintaining over 95% of BERT's performance on the GLUE language understanding benchmark.
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 #NewYork!
#NLP #Python #ML
I analyzed the sentiment on the last 396 tweets from my home feed using a trained #DistilBert model from #huggingface. A majority (68.7%) were classified as positive.
#Python #NLP #PyTorch #Sentiment #GrantBot
I analyzed the sentiment on the last 205 tweets from my home feed using a trained #DistilBert model from #huggingface. A majority (63.9%) were classified as positive.
#Python #NLP #PyTorch #Sentiment #GrantBot
I analyzed the sentiment on the last 203 tweets from my home feed using a trained #DistilBert model from #huggingface. A majority (72.4%) were classified as positive.
#Python #NLP #PyTorch #Sentiment #GrantBot
I analyzed the sentiment on the last 121 tweets from my home feed using a trained #DistilBert model from #huggingface. A majority (56.2%) were classified as positive.
#Python #NLP #PyTorch #Sentiment #GrantBot
I analyzed the sentiment on the last 308 tweets from my home feed using a trained #DistilBert model from #huggingface. A majority (64.6%) were classified as positive.
#Python #NLP #PyTorch #Sentiment #GrantBot
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 #NewYork!
#NLP #Python #ML
I analyzed the sentiment on the last 302 tweets from my home feed using a trained #DistilBert model from #huggingface. A majority (67.5%) were classified as positive.
#Python #NLP #PyTorch #Sentiment #GrantBot
I analyzed the sentiment on the last 154 tweets from my home feed using a trained #DistilBert model from #huggingface. A majority (61.7%) were classified as positive.
#Python #NLP #PyTorch #Sentiment #GrantBot
Last Seen Hashtags on Sotwe
minichat()********* filter:videos
Seen from United States
minichat()()()()*+filter:videos
Seen from Netherlands
hirose
Seen from France
dinersclub
DeerEncounter
Seen from Brazil
Caluraestiva
Seen from United States
ميقا_حصريات
Seen from Italy
snapchat
Seen from Chile
hospital porn
Seen from India
LOD6
Seen from Peru
Trends for you
Most Popular Users
Elon Musk 
@elonmusk
241.7M followers
Barack Obama
@barackobama
118.9M followers
Cristiano Ronaldo
@cristiano
114.6M followers
Donald J. Trump
@realdonaldtrump
111.9M followers
Narendra Modi
@narendramodi
107.2M followers
Rihanna
@rihanna
98.7M followers
NASA
@nasa
92.4M followers
Justin Bieber
@justinbieber
91.8M followers
KATY PERRY
@katyperry
90.1M followers
Taylor Swift
@taylorswift13
84M followers
Lady Gaga
@ladygaga
75.5M followers
Virat Kohli
@imvkohli
73.5M followers
Kim Kardashian
@kimkardashian
70.9M followers
YouTube
@youtube
68.8M followers
Neymar Jr
@neymarjr
66.5M followers
Bill Gates
@billgates
65.2M followers
Selena Gomez
@selenagomez
63.1M followers
The Ellen Show
@theellenshow
62.3M followers
CNN
@cnn
61.8M followers
X
@x
60.7M followers