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for now, I'm thinking of training sentiment classification on multiple classes we will then use the top Log(probability) on each neuron as a combination of emotions ['Joy', 'Mad'] the model that I cur…
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Hi, I have a question about the LTU-AS FT. I saw the model used in [finetune.py](https://github.com/YuanGongND/ltu/blob/6869e4780d332b5758662091bad1c69daa572ca9/src/ltu_as/finetune.py) is only trained…
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Today we have tasks such as `tasks.classification.mutli_class` that are very general by using things like: `class_type` then we can have sentiment and emotion classification under the same task by usi…
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## Information
The problem arises in chapter:
* [ ] Text Classification
## Describe the bug
Collecting the datasets with the statements:
from datasets import list_datasets
all_datasets = l…
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Hi, I have a question. Obviously I know that the IEMOCAP dataset is multi-label, but if you look at the code, it seems that the accuracy was measured with single-label method. Maybe I misunderstood th…
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Build a classification engine which classifies tweets by illness/symptom, then switch it out with the emotions library.
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Thanks for providing your great code. I have ran the wav2vec emotion classification of greek audio and it works great. However, I keep running into memory errors when changing the dataset.
I am tr…
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Amazing library !!
Anyone aware of a nice emotion detection library (happy / sad / smiling) that could integrate nicely with this ?
Thanks
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### Is your feature request related to a problem? Please describe.
Problem Statement: Develop an emotion recognition model capable of analyzing text data and accurately classifying the expressed emot…
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## bertattack
original prompt: Evaluate the sentiment of the given text and classify it as 'positive' or 'negative':
original score: 0.4934426229508197
attacked prompt: Evaluate the sеntiment of …