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Ethical considerations have been the main reason why my family and I have not injected any of our financial resources into stocks, bonds or other financial instruments.
However, it is becoming incr…
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Is this list of risky keywords only limited to English or can users contribute to other languages as well?
And by the way what are the criteria to add the new phrases? Is it cusswords in Nature or…
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# One-liner
Personal best: Most faved/liked post.
# Full explainer
This insight keeps track of the user's most faved tweet/liked status update and gives the user a heads up when she's broken her pre…
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Hi all ,
When I use `dl-sentiwords.py trained1.tsv --vocab words.txt --vectors vectors.txt` I got this error
> Saving vocabulary in words.txt
> Creating new network...
> ... with the follo…
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In `preprocess_csv` function in `preprocess.py` ([link](https://github.com/abdulfatir/twitter-sentiment-analysis/blob/master/preprocess.py#L71)), pandas can be used to parse the csv more efficiently a…
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0.875 ill-mannered
0.5 brutally
0.5 boneheaded
0.5 cynically
0.5 cutthroat
0.5 dishonestly
0.5 dishonestly
I wonder where you got the list?
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Currently, the query is hardcoded in `jobtweets.py` i.e.
```python
tweets = api.get_tweets(query = 'Job Opportunities', count = 500)
```
Taking the input for query (i.e. `#hashtag`) from the u…
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README
- Mentioning specifically which files and functions do what in the README would make things a lot clearer. Overall it was a bit difficult understanding the README.
- README mentions "5 module…
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Hi,
I just found about this library after working with gluon-TS and this is really cool! My problem setting for my thesis project requires unknown real features which surprisingly is not supported …
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The most direct connection in the current outbreak, is that the original two strains of COVID-19 have evolved (since early March), and therefore possibly more to be expected (which happened, see Twee…