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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…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Enhacing Sentiment Analysis Model
:red_circle: **Aim** : Using BERT and roberta-based models to improv…
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Hello, I've tried to run sentiment analysis with DUTIR on a dataset of 80000 and it took >40 minutes to execute which is very slow compared to other packages. Is it possible if you can show me how to …
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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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- Use NLTK to get sentiment on stock from raw text.
- Incorporate number of mentions.
- Use PRAW or another API to get pre-made sentiments: https://www.learndatasci.com/tutorials/sentiment-analysis-…
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Besed on the sentiment, include a tonality recommendation. This will allow for the user to be continuously reminded about tone
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**Stock Sentiment Analyzer**
**Backend**: Java pulls in real-time financial news or social media data related to specific stocks and runs sentiment analysis using an algorithm (positive, neutral, n…
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Problem Description:
Fake News Detection using Deep Learning
This project aims to identify whether the given news is fake or not by extracting meaning and semantics of the given news.
Model-1: …
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- using something like [newspaper3k]()