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:red_circle: **Title** :Twitter Sentiment Analysis
:red_circle: **Aim** : Analysis of Tweet Sentiment using NLP and Machine Learning
:red_circle: **Brief Explanation** : Analysis of Tweet Sentiment …
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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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![image](https://github.com/user-attachments/assets/acc33089-c89e-4fbb-b20c-d314852efb64)
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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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**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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```
"size":["orig"],
"cards": true,
"conversations": false,
"pinned": false,
"quoted": true,
"replies": true,
…
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- dictionary of sentiment words
- calculating sentiment score for tweet's body
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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
…