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This project conducts a comprehensive analysis of Twitter data, encompassing data preprocessing, sentiment analysis, user categorization and machine learning modeling. It begins by cleaning and prepar…
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Hi @dllussier!
My team and I have come up with a variety of classifier models from [this article](https://github.com/orgs/brainhack-school2020/teams/url) and I was wondering if you had some suggesti…
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Given a .tsv of tweets, repeat the following:
- [x] present a tweet to the user
- [x] solicit a binary label
- [x] train a classifier
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1. Simple linear classifier: Uses the weights of the words derived from (SentiWordNet + Synonyms) to classify the tweets as positive or negative.
Example:
tweet: happy cake
it averages the p…
omna updated
10 years ago
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Goal: compare the performance (in terms of accuracy, speed, and RAM usage) of the MinDivLP approach, and a standard QIIME2 workflow.
- [x] Familiarize yourself with [QIIME2](https://qiime2.org/) an…
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Halo gan,
mau nanya dong hehe, kalo ini algoritma yang dipakai apa ya untuk named entity recognition ? saya lihat untuk post tagging memakai CRF dengan model yang sudah ada, nah untuk dapat melak…
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Well done! This report is very professionally written and the topic is interesting. The exploratory data analysis is clear and beautiful I like how you take up some challenges by exploring beyond the …
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Code to check the performance of different models.
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Hello Sir. Are you creating the datasets manually or not ?
Thank you
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### Prerequisites
* [ X ] Put an X between the brackets on this line if you have done all of the following:
* Read about bug reporting in general: https://rspamd.com/doc/faq.html#how-to-re…
japc updated
2 months ago