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- [x] Use VADER to perform sentiment analysis on minimal data set
- [x] Productionize model as a class object
- [x] Create processed data set with top 1000 "saltiest" users
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# 🚀 Feature request
After performing some experimentation and comparison to VADER, we come to consensus that "pretrained BERT-based Hugging Face transfomer" is performing way beyond the other lexic…
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```
309 if start_i == 2 and s != 0:
310 s = s * 0.9
--> 311 valence = valence + s
312 valence = self._…
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Hello,
Sorry. I am new to this library. I would like to know if there is an easy way of training this library (Manually obviously)
Because i am seeing the following values:
Very conveniently lo…
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I am running a sentiment analysis on amazon product reviews (1000 reviews). I noticed that when I run VADER sentiment analysis on all the reviews, I am obtaining different sentiment polarity and inten…
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* PHP Version: 7.4.2
* File: `vendor/yooper/php-text-analysis/src/Sentiment/Vader.php`, line 419
* Code:
```php
foreach($rows as $row)
{
$this->lexicon[$row[0]] = $row[1];
}
```
* P…
repat updated
4 years ago
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Hello Kaggle Team,
I've installed 'vaderSentiment' on my custom docker. But I could'nt use it because it was't allowed in the competion. I also tried using it via 'NLTK' (by using "import nltk.sent…
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Hello,
I recently came across an interesting example where sentiment analysis on words containing negative words (like 'not', 'never') need not always indicate a negative sentiment. Example:
`"Sen…
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Gather text that are labeled based on the text's tone/mood.
-Have a sufficiently large dataset downloaded and in a parseable format for sentiment analysis