# Hebrew Sentiment Analysis

Dictabert Sentiment
Cutting-edge language model specifically designed for Hebrew, a BERT-based sentiment analysis model
Text Classification Transformers Other
D
dicta-il
1,242
1
Hebert Sentiment Analysis
HeBERT is a pre-trained language model for Hebrew, focusing on polarity analysis and sentiment recognition tasks.
Large Language Model
H
avichr
9,673
26
Hebemo Surprise
HebEMO is a tool for detecting polarity and extracting emotions in modern Hebrew, trained on COVID-related datasets, and excels in polarity classification and emotion recognition tasks.
Text Classification Transformers
H
avichr
119
0
Hebemo Trust
HebEMO is a tool designed to detect polarity and extract emotions from modern Hebrew user-generated content (UGC), trained on a unique COVID-19-related dataset.
Text Classification Transformers
H
avichr
119
0
Hebemo Anger
HebEMO is a tool designed to detect sentiment polarity and extract emotions from modern Hebrew user-generated content (UGC), trained on a unique COVID-19 related dataset.
Text Classification Transformers
H
avichr
117
0
Hebemo Sadness
HebEMO is a tool for detecting polarity and extracting emotions from modern Hebrew user-generated content (UGC)
Text Classification Transformers
H
avichr
108
0
Hebemo Fear
HebEMO is a tool designed to detect sentiment polarity and extract emotions from modern Hebrew user-generated content, trained on a unique COVID-19 related dataset with superior performance.
Text Classification Transformers
H
avichr
111
1
Hebemo Disgust
HebEMO is a tool for detecting polarity and extracting emotions from modern Hebrew user-generated content, trained on COVID-19 related datasets.
Text Classification Transformers
H
avichr
108
0
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