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Sorry if this is a noob question, but I'm wondering if there is a straightforward way to use this model for basic sentiment analysis (positive/negative), similar to how "distilbert-base-uncased-finetu…
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## Background
The acronyms service has been made unavailable because the website was hosting information that poses a reputational risk to the MOJ department and Corporate comms requested this servic…
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Come up with higher level LLM UDF.
When analyzing data via LLMs (text, images), step by step we have quite a lot of repetitive code like:
```python
def extract_performance(chunk: Chunk) -> CompanyPe…
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it would be very helpful if we could see which messages were tagged as negative or positive as that could give us a deeper insight into the accuracy. perhaps maybe add a accurate or not button to furt…
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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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Now that we've got about 100k transcripts in our oral argument collection, perhaps a next step would be to add sentiment analysis. I think this is pretty easy stuff these days either through an AI cal…
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**Description**:
This task involves building a complete asynchronous task pipeline for processing articles. Each article should be processed sequentially through multiple stages: fetching the conte…
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improving sentiment analysis by making a website with streamlit and flask
GSSOC 2022
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Create interface and implementation of Elastic Search layer for natural language processing and machine learning.
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### Feature Summary
Predictive Analytics for Investment Strategies: Create a predictive analytics tool that helps users make better investment decisions based on historical data and trends.
### Desc…