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**Title: Implement Sentiment Analysis on Twitter Data**
**Description:**
This issue covers the implementation of a sentiment analysis pipeline for Twitter data using machine learning models.…
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Assignment 2 aims to find misinformation on social network, i.e., identify profiles that
are mistakenly recorded as human/non-human profiles
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skip-gram vs bag-of words model
alpha
window size,....
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We constantly confuse terms, so what to say about other developers.
I do not want to make it full, but to have a start.
Here is terms list to explain on the first iteration:
1. Bag-of-words
4. …
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Is this implementation the distributed bag of words ('PV-DBOW') or the distributed memory ('PV-DM') model
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Hi
In the paper you said that "Author features
are the elements of a bag-of-words represented of keywords"
I can not find these features in the dataset.
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Is sparse coding is possible with openimaj? If yes. Then how..? what would be the way when you have the bag of visual words and need to apply sparse coding.
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Train:
- [ ] distributed memory (dm)
- [ ] distributed bag of words
models, which are an extension to cbow and skip-grams for longer texts.
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In the class KMeansAverager, in the fonction _make_bag_of_centroids, warnings appear because some words are not in the dictionary.
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```
On Distributions, for open text, create a list of most common words in
descending order. Example: [answer 1, answer 2] => bag of words => [ [word1,
count], [word2, count] ]. sortDescending => Li…