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To detect the type of sentiment of the incoming request, we need to identify the type of sentiment
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Firstly that underthesea not compatible with python 3.12 so that I downgraded it to 3.11 then install all the dependencies mentioned in **https://underthesea.readthedocs.io/_/downloads/en/develop/pdf/…
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**Conditions of Satisfaction (CoS):**
The system accurately performs sentiment analysis on financial news articles related to specified stocks or sectors.
Sentiment scores are derived from the lates…
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py/cookbooks/labeled_few_shot/json.ipynb score is way lower than a naive llm with no optimization. Also the examples are clearly messed up in last cell:
Analyzing sample texts:
Text: I absolutely …
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### Description
Extracting sentiment (polarity) and emotional category from text
### Tasks
- [ ] Sentiment analysis
- [ ] Emotional analysis
### Freeform Notes
_No response_
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# Overview
To enhance the feature set of our [ai-subnet](https://docs.livepeer.org/ai/pipelines/overview#models-on-the-ai-subnet/), we aim to implement a [Sentiment Analysis](https://huggingface.co…
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**Title: Implement Sentiment Analysis on Twitter Data**
**Description:**
This issue covers the implementation of a sentiment analysis pipeline for Twitter data using machine learning models.…
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### ML-Crate Repository (Proposing new issue)
Project Title :Twitter sentiment analysis
Aim :to predict whether a comment is positive or negative on twitter.
Dataset:https://www.kaggle.com/datasets…
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Hello
The installation fails with the following error:
> > install_sentiment.ai()
> Error in .make_numeric_version(x, strict, .standard_regexps()$valid_numeric_version) :
> invalid non-charac…
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# Task Name
Predicting the sentiment of given spoken utterance
## Task Objective
Sentiment analysis refers to classifying a given speech segment as having negative, neutral, or positive senti…