Does Twitter Believe in Dogecoin? - Sentiment Analysis in Python
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- Опубликовано: 6 апр 2021
- Today we learn how to perform a sentiment analysis on Dogecoin or other cryptocurrencies in Python using Twitter.
DISCLAIMER: This is not investing advice. I am not a professional who is qualified in giving any financial advice. This is a video purely about sentiment analysis in Python from a programming perspective.
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I love how i learn something new almost everyday while i have coffee. Great content man!
dude you're a SUPERHERO! i love your videos
Amazing video! I wonder if Python could extract the social network information from these
Glad I'm A
NeuralNine Viewer 😊
Hey could you make a series on golang
Awesome video man! Would you mind explaining how you would go about cleaning all the emojis from the text as well?
Your key file was empty because you've opened it in write mode. By default opening with "w" cause to overwrite everything.
oh damn that makes sense. Thank you
XD
Can you use Jupyter notebook or lab ? It would be great if we could see output of codes step by step.
you can create a py file, put variables there like MY_KEY = '...' and import the file in your main script
then all required values will be available easily, don't need to write special codes for reading, parsing and so on
This vídeo is pure gold 🏆
one question . is it possible to store those extracted cleaned tweets into an sql server so you have a visual aspect of what you are extracting?
I love your videos!!
I like the intro
what is the algorithm or method used in this?
How can clear for cashtags like $dogecoin? Doesn’t seem to work just by adding $ instead of #, @ or http in the code. Any suggestions?
important side note: textblob can make an analysis only for English language, if you want to use it in another language you must translate. A quick way is using textblob itself:
import textblob
frase='Io ti amo'
print(textblob.TextBlob(frase).detect_language())
b=textblob.TextBlob(frase).translate(to='en')
print(b)
print(textblob.TextBlob(str(b)).sentiment.polarity)
In the video he showed a way to choose a language, is that not enough?
@@mrmoh2 you lost a couple of steps:
1) tweepy is used to scan tweeter, there you can select the language (the one you speak about)
2) the sentiment analysis (polarity) is carried on by TextBlob, which is trained only for the English language, so that if you want to analyse another language you have to translate it first to English. TextBlob helps for the process.
@@g.s.3389 thanks for the feedback, is true that language is for tweepy and not for textblob.
Thanks!
The tutorial was phenomenal. Thanks man.
Pls make a vid on neat python
Bro, please make a python automation course!
Waiting for neuralnine to make video on installing nvim 😶😶
Is it that difficult that a tutorial is needed? 👀
@@NeuralNine I asked for api token from Twitter but they didn't give it. How could you get it?
@Lucario If you want a similar setup to NeuralNine and you're using windows 10 then search up "how to install wsl2" and install a linux distro like ubuntu from the windows store. From there, you can install nvim easily using "sudo apt-get install neovim" in the terminal.
@@AliKoca-ds1vv create a new account. They don't give second apply option.
@@127. OOH. THANK YOU!
I have this error : ModuleNotFoundError: No module named 'cycler'. I had try to install cycler and put it in matplotlib module but it doesn't work. Any solutions ?
I am confused, why you in rows 42 and 43 use ['Tweets'] after dataframe method .count()
Sorry, my mistake, I didn't read the pandas documentation
Not sure I'll get a response but when I run the code the terminal says 'API' object has no attribute 'search'. Any idea what I'm missing here? Thanks
I have the same problem. Did you manage to fix it?
@@masterinvestor6271 I did this project over a year ago, I don't remember sorry :(
FIRE
🔥
VSCode instead of Linux text editor?
I am not using VS Code and what is a Linux Text editor=
You are truly sent by God. Please charge us money for watching such valuable content.
😂 you can support me on Patreon if you want hahaha
Third! Bro you on a rage these days, pls pin
thanks
Day 1: Asking neuralnine to make a flask python tutoria
I have to learn it first 😂
@@NeuralNine lmao😂
@@NeuralNine lmao😅 mb. But great vid tho 👍
@@NeuralNine It's pretty easy, actually. It's pretty similar to bottle and is easier than django.
Dogecoin
😂
Imagine getting pinned by NeuralNine
imagine
You actualy did that. Still thanks for the great content
17th comment
Change your intro music
One more thing
rows iteration isn't good way
you should use pd.DataFrame.apply (or even applymap) function
it works much faster than iteration and code-logic is easier
5th Comment XD
^^
@@NeuralNine can you please make a telegram or signal bot tutorial with Python? I will really appreciate if you do, because I don't understand any one else's explanation. I'm sure you will explain clearly 🙏