Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
|
@@ -3,7 +3,7 @@ import streamlit as st
|
|
| 3 |
|
| 4 |
sentiment = pipeline(
|
| 5 |
"sentiment-analysis",
|
| 6 |
-
model="heBERT_sentiment_analysis",
|
| 7 |
)
|
| 8 |
st.title("Find sentiment")
|
| 9 |
st.write("HebEMO is a tool to detect polarity and extract emotions from Hebrew user-generated content (UGC), which was trained on a unique Covid-19 related dataset that we collected and annotated. HebEMO yielded a high performance of weighted average F1-score = 0.96 for polarity classification. Emotion detection reached an F1-score of 0.78-0.97, with the exception of *surprise*, which the model failed to capture (F1 = 0.41). These results are better than the best-reported performance, even when compared to the English language.")
|
|
|
|
| 3 |
|
| 4 |
sentiment = pipeline(
|
| 5 |
"sentiment-analysis",
|
| 6 |
+
model="avichr/heBERT_sentiment_analysis",
|
| 7 |
)
|
| 8 |
st.title("Find sentiment")
|
| 9 |
st.write("HebEMO is a tool to detect polarity and extract emotions from Hebrew user-generated content (UGC), which was trained on a unique Covid-19 related dataset that we collected and annotated. HebEMO yielded a high performance of weighted average F1-score = 0.96 for polarity classification. Emotion detection reached an F1-score of 0.78-0.97, with the exception of *surprise*, which the model failed to capture (F1 = 0.41). These results are better than the best-reported performance, even when compared to the English language.")
|