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vinitshahdeo / jobtweets

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Open

Taking query(#hashtags) as input from user

9
vinitshahdeo
vinitshahdeo commented Oct 2, 2019

Currently, the query is hardcoded in jobtweets.py i.e.

tweets = api.get_tweets(query = 'Job Opportunities', count = 500)

Taking the input for query (i.e. #hashtag) from the user through CLI seems better!

Question to answer?

Can we take input as a comma-separated string for processing multiple hashtags at a time?

Enter hashtags: **`jobs, openings, job oppor

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enhancement good first issue hacktoberfest help wanted

tahaHichri / ML-fomo

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Open

language_check.JavaError: can't find Java

1
fksontini
fksontini commented Mar 22, 2019

Traceback (most recent call last):
File "C:\Users\f.ksontini\AppData\Local\Programs\Python\Python37\lib\site-packages\language_check_init_.py", line 594, in get_server_cmd
cmd = cache['server_cmd']

C:\workplace\IA\ML-fomo>python main.py 'Metallica' 100
Traceback (most recent call last):
File "C:\Users\f.ksontini\AppData\Local\Programs\Python\Python37\lib\site-packages\language_ch

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good first issue

avaiyang / Movie-Rating-and-Prediction-Model

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The objective of this project is to utilize the IMDB data set to generate Meaningful and Interesting Insights and then create a movie rating model based on average IMDB ratings and a sentiment analysis score of user tweets. And also to create an accurate Machine Learning model to predict average movie ratings based on some key features.

javascript css python html machine-learning spark jupyter-notebook google-cloud-platform textblob zeppelin-notebook
  • Updated May 21, 2018
  • Jupyter Notebook

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