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- Develop machine learning models for categorizing user responses into predefined categories or topics relevant to the research objectives.
- Implement sentiment analysis algorithms to automatically …
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Sentimental Analysis:
```
Dropped: text/x-c++
Dropped: text/x-c++
Traceback (most recent call last):
File "./SentimentAnalysis.py", line 168, in
Analyse(message, server)
File "./Sent…
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I want to do a sentimental analysis of the tweets and I want to use this model for that purpose.
Can someone provide me a high-level overview of what/How I should be doing to accomplish my task?
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- [ ] Expansions of Contractions
- [ ] Removal of special characters and conversion to lowercase
- [ ] Tokenization
- [ ] Stopword removal
- [ ] Lemmatization
- [ ] Sentimental Analysis
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1. Create a class that calls the Sentiment Analysis API:
[`Sentiment Analysis API`](https://rapidapi.com/gaurmanojkumar530/api/text-analysis12)
2. The API should receive (for the first sprint) a t…
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Add a feature for analysing Facebook post by using reviews of the post,
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Problem with exaggerated Jamaican accents
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Twitter Sentiment Analysis** :
:red_circle: **Aim**: Perform Sentiment Analysis with 3-4 Deep Learning Models and find t…
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## 💥 Proposal
This project involves performing sentimental analysis on dataset to determine the polarity of sentiment as positive or negative.