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emotion_text_classifier

michelleli99 / emotion_text_classifier

Run on huggingface.co
huggingface.co
Total runs: 51.7K
24-hour runs: -441
7-day runs: -2.7K
30-day runs: -964
Model's Last Updated: May 03 2023
text-classification

Introduction of emotion_text_classifier

Model Details of emotion_text_classifier

Fine-tuned DistilRoBERTa-base for Emotion Classification 🤬🤢😀😐😭😲

Model Description

DistilRoBERTa-base is a transformer model that performs sentiment analysis. I fine-tuned the model on transcripts from the Friends show with the goal of classifying emotions from text data, specifically dialogue from Netflix shows or movies. The model predicts 6 Ekman emotions and a neutral class. These emotions include anger, disgust, fear, joy, neutrality, sadness, and surprise.

The model is a fine-tuned version of Emotion English DistilRoBERTa-base and DistilRoBERTa-base . This model was initially trained on the following table from Emotion English DistilRoBERTa-base :

Name anger disgust fear joy neutral sadness surprise
Crowdflower (2016) Yes - - Yes Yes Yes Yes
Emotion Dataset, Elvis et al. (2018) Yes - Yes Yes - Yes Yes
GoEmotions, Demszky et al. (2020) Yes Yes Yes Yes Yes Yes Yes
ISEAR, Vikash (2018) Yes Yes Yes Yes - Yes -
MELD, Poria et al. (2019) Yes Yes Yes Yes Yes Yes Yes
SemEval-2018, EI-reg, Mohammad et al. (2018) Yes - Yes Yes - Yes -

It was fine-tuned on:

Name anger disgust fear joy neutral sadness surprise
Emotion Lines (Friends) Yes Yes Yes Yes Yes Yes Yes

How to Use 

from transformers import pipeline
classifier = pipeline("sentiment-analysis", model="michellejieli/emotion_text_classifier")
classifier("I love this!")

Output:
[{'label': 'joy', 'score': 0.9887555241584778}]

Contact

Please reach out to [email protected] if you have any questions or feedback.

Reference 

Jochen Hartmann, "Emotion English DistilRoBERTa-base". https://huggingface.co/j-hartmann/emotion-english-distilroberta-base/, 2022.
Ashritha R Murthy and K M Anil Kumar 2021 IOP Conf. Ser.: Mater. Sci. Eng. 1110 012009

Runs of michelleli99 emotion_text_classifier on huggingface.co

51.7K
Total runs
-441
24-hour runs
-2.0K
3-day runs
-2.7K
7-day runs
-964
30-day runs

More Information About emotion_text_classifier huggingface.co Model

emotion_text_classifier huggingface.co

emotion_text_classifier huggingface.co is an AI model on huggingface.co that provides emotion_text_classifier's model effect (), which can be used instantly with this michelleli99 emotion_text_classifier model. huggingface.co supports a free trial of the emotion_text_classifier model, and also provides paid use of the emotion_text_classifier. Support call emotion_text_classifier model through api, including Node.js, Python, http.

emotion_text_classifier huggingface.co Url

https://huggingface.co/michelleli99/emotion_text_classifier

michelleli99 emotion_text_classifier online free

emotion_text_classifier huggingface.co is an online trial and call api platform, which integrates emotion_text_classifier's modeling effects, including api services, and provides a free online trial of emotion_text_classifier, you can try emotion_text_classifier online for free by clicking the link below.

michelleli99 emotion_text_classifier online free url in huggingface.co:

https://huggingface.co/michelleli99/emotion_text_classifier

emotion_text_classifier install

emotion_text_classifier is an open source model from GitHub that offers a free installation service, and any user can find emotion_text_classifier on GitHub to install. At the same time, huggingface.co provides the effect of emotion_text_classifier install, users can directly use emotion_text_classifier installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

emotion_text_classifier install url in huggingface.co:

https://huggingface.co/michelleli99/emotion_text_classifier

Url of emotion_text_classifier

emotion_text_classifier huggingface.co Url

Provider of emotion_text_classifier huggingface.co

michelleli99
ORGANIZATIONS
huggingface.co

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