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The sentiment analysis of tweets is a rewarding project that not only helps you learn essential machine learning and NLP skills but also has significant real-world implications. Whether you’re interes…
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- Can improve performance on multi-core CPUs by using async tasks to complete Tweet analysis.
- Currently performs each Tweet analysis in series.
- 000s of tweets are analysed at a time.
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**Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
**Describe the solution you'd like**…
bgdom updated
4 years ago
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It would be useful have some NLP for tweets -- specifically, keyword analysis.
Some very basic, preliminary testing shows that the current keyword analysis does an ok job on tweets, but it tends to r…
jywsn updated
7 years ago
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- dictionary of sentiment words
- calculating sentiment score for tweet's body
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```
/Users/hagen/Documents/Misc/twitterstuff/twitter-to-bluesky/node_modules/@atproto/xrpc/dist/types.js:174
return new XRPCError(status, undefined, message, headers, { cause });
…
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### Description:
Perform comprehensive exploratory data analysis (EDA) on the Sentiment140 dataset to gain insights into the data and identify patterns. The following analyses should be included:…
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Hi Bro,
I wanted to suggest a feature addition to GitHub regarding Vega strength logic, as explained by option trader Vibhor Gupta.
Here's the logic in a nutshell: Vega of option strikes betwee…
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We need to have a new feature built on the existing codebase.
From all the scraped tweet data, we have to come up with some "analysis feature" to analyze:
- sentiment analysis of the tweet topic
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