Graphing Live Twitter Sentiment - Language Processing With Python and NLTK p.21

For a current conclusion to this series, we go ahead and graph our basic sentiment analysis results to a live Matplotlib graph.

[khawarahmed]

"First of all we're gonna import style, because if we don't have style, we have nothing." Classic.

[stacymaimoon]

Thanks Harrison, I learned a number of useful thing through these 21 videos, :-)

[srikumaraduri]

Watched the entire series. Excellent tutorials. Very well done. Thanks for sharing.

[thesagarmahapatra]

Great Series, Thanks a Lot. Learning a lot from you in these times of quarantine. Stay Safe, Bless you!

[MaheshDodke]

Seriously you rock buddy loved your tutorials
I started watching NLTK tutorials because I want to build a chat bot for starter and a really good thing later on.
Can you suggest anything related to chat bot where to start and how to improvise. It would be really helpful thank you for making this series. Please keep posting

[techgamer]

Nice i just finished watching this NLTK playlist!!!! great!

[mkoller]

My favorite series so far! I'm using OS X/Terminal. What's the best way to disconnect from the Twitter feed? I've been using Control-C. Also gets a bit glitchy trying to exit the graph. I have to use Control-Z and then Control-C. Are there better ways?

[kylez]

Thank you again for the video! How can I improve the classifier? Any general directions?

[shauryavardhan]

Thank You for this Amazing series, Learnt a lot!

[paritoshkumar]

Thank you very much for this series! 😄

[bright]

Love your tutorial so much!! I have finished this tutorial and for the last part twitter sentiment analysis, can I do that for a specific period of time? for instance, I want to know what do people think of Obama only in June, 2017? Can this task be accomplished by the tweepy module? Thanks!

[jhshshe]

The plot was not visible to me. As in I ran the code on my system but could not see the plot.help

[dadekoroti]

every tweets appear to be negative, what should i do? thankyou

[alexisponce]

do you know how to deploy a app like this using nltk in netlify, vercel, render?

[OMGhowtheF]

Thanks! This was awesome! Very well explained!

[carlospua]

Great Tutorial. I'm new on this stuff with python and nltk. now I am working on a project that the main purpose is to try to predicte a best user to assign a ticket based on the descriptions of ticket historical data, and also implement a machine learning app to feed the model every time a ticket is closed (it's suppose closed for the best user to resolve it) . at the beginning I tried to do it with SQL creating a dictionary with the split by noun phrases but with machine learning the idea is to pass a vector space. I would like you to guide me what it would be the stpes that I have to follow to do this project. Initiatlly, I think that I have to tokenize the descriptions of each ticket with the user who closed it and then train and test the data, but to implementing with a machine learning, I don't know how to do it. Maybe I am not on the right direction. I hope you can help me on that. thanks in advance

[opalkabert]

+Sentdex I love this series. I kind of cannot fine this in any of the files featuresets.pickle. Could you point me to the file that created "pickled_algos/featuresets.pickle", "wb". Thanks for the works.

[sebastianstahl]

I wonder, the tweets that you receive, are they from the people that you follow or is it from all users on twitter?

[devendrakamalapurkar]

Thanks for the series! Loved it! Can you extend this series and make a tutorial on Aspect Based Sentiment Analysis?

[danmandel]

I seem to only be able to run one program at once - when I try to run the twitter stream my graphing program closes and vice versa. Any ideas on how to fix this?