Thanks for watching! If you want to get twitter data from the twitter API, check out this playlist th-cam.com/play/PL7Lkk4UtXtOw04G1nRapMNgd2myNJCZSJ.html
Great tutorials! All your code can run successfully and they are the most up-to-date! I am liking all your videos and look forward to your future ones!
Wow man!!! your tutorials are super easy to follow. I came across your channel searching something randomly. Wish you the best to grow this channel and bring more such videos.
Very very good tutorials! Both the quality of the video and the quality of how you explain the different code + a very good choice on what kind of video to make! 🙌 Keep going Is it possible to have a video on how to catch the number of tweets that have been posted in the past x months/years from one specific account? Thank you
Thank you for your instruction. I followed through, made some modifications, and managed to do sentiment analysis for 5000 tweets. It took like 12 hours to do it though, with 7-8 seconds for each tweet. And for some reasons, all of the emojis were corrupted.
Ausome ! As an accountant, i am interested in getting into Python for various analysis . please which book to learn from from scratch and comprehensively.
No more Free Access of Twitter API anymore, They cost you 100$ per month. I started this project and come to at the end while pulling the tweet request.
@aispectrum, can I use the same roberto model for Instagram comments? I have the comments but not sure which model I have to use for sentimental analysis. Thanks for your content.
How do we know the sequence of the scores is Negative, Neutral and Positive. And everytime the output is going to be 3 scores? Is the output of raw scores given by Roberta cosine similarity? Unable to follow that part? Great insights though
Hey, ur playlist helped me alot. I'm working on twitter data related to some social issues in our society (india). But majority of tweets are in regional languages. Tried using google translator API but results are not satisfactory. Can this model analyze all languages??
i have a question that this sentiment analysis just works on comment that we put here or can we make sentiment analysis from the post of someone's comment/tweets section hope you understand
What are the consequences of using "max_length" with several tweets? Because it's analyzing different tweets with different lengths that I joined in one text. If I use max_length "100", it means 100 tokens, am I correct? Which can be include tokens across different tweets... so, I am really struggling to run it over a large number of tweets.
"from transformers import AutoTokenizer [and/or] AutoModelForSequenceClassification" kills the kernel in jupyter notebook. I've tried uninstalling and re-installing stuff, pip and conda, etc. Would love a fix!
@@aispectrum Your solution worked. Thank you! I know this is a very simple question, but how do I modify your code to apply to a df of tweets instead of a single tweet? Presently, I can only do it by creating new variables ('encoded_tweets'; 'scores'; etc.) as empty lists of length equal to the length of my df then iterating through those lists. In R, I would just use "mutate" and it would be incredibly simply and fast.
It is possible to do the same analysis for multiple tweets. After doing the preprocessing on the text (@username to user , etc), just pass the list of the tweets to the tokenizer (just make sure to specify the max_length, and padding=True,truncation=True) and get the encoded_tweet. After geting the output, you can get the scores by writing softmax(output[0].detach().numpy(), axis=1)
@@jesusbaug hi can u send the code of how we can give multiple tweets as input... I have written tweet = ['Great content subscribed' , 'Hiii sir' ] But when i am giving this in : For word in tweet.spli() it is throwing error, can you help please
Great Video. I am having an error but I don't why. The error is 'RuntimeError: Numpy is not available', I already have installed Numpy, maybe You can help me. thanks buddy
When I try to reproduce your results, for output = model(**econded_tweet), on a different dataset, I get this error: RuntimeError: The expanded size of the tensor (1114) must match the existing size (514) at non-singleton dimension 1. Target sizes: [146609, 1114]. Tensor sizes: [1, 514] What can I do to fix it?
Hey ! Thanks a lot for your videos, helps so much ! I'm new in Python and I wanted to give a list of tweets (as you did in your video "How to get TWEETS by Python | Twitter API 2022") instead of a single tweet. I succeeded in getting every score for every tweet but it could be great to keep only the best score (and its corresponding label) for each. How would you do that ? Thanks a lot for your content !
@@aispectrum Thanks for your help. Works great but if I try to add it to the dataframe (to have the label and prediction), it is the sames values for all rows. For example "Neutral" and "0,75" for the first row and same for the following ones :/ Sorry for my lack of skills
Hello , found your labs very interesting and well-explained . I have a query sir. Sometime while fetching real - time tweets I get 403 response. I am having essential access on my twitter dev account. What could be reason ?
I believe because you have essential access, you cannot use the API v1.1 (tweepy.API). You could either request for an elevated access or try to use the API v2 instead (tweepy.Client).
if anyone is interested: the above query can be achieved using following code (rest of the code stays the same) # sentiment analysis def SA(tweet_proc): encoded_tweet= tokenizer(tweet_proc,return_tensors='pt') output=model(**encoded_tweet) scores=output[0][0].detach().numpy() scores=softmax(scores) ind=np.argmax(scores,axis=0) return labels[ind] df['SA'] = df['Text'].apply(SA)
Does both pytorch and tensorflow use my gpu for the sentiment analysis? I've managed to implement the code in my project, but the sentiment analysis runs very slow. Will it be faster if I switch to tensor flow and how do i do that?
![เปิดบ้าน โคตรสวย ป๋องกพล รู้จักตั้งนาน เพิ่งรู้ว่ารวย!!! l [Nickynachat]](http://i.ytimg.com/vi/tmgCF_2HfYI/mqdefault.jpg)
Thanks for watching! If you want to get twitter data from the twitter API, check out this playlist th-cam.com/play/PL7Lkk4UtXtOw04G1nRapMNgd2myNJCZSJ.html
Can you please how to execute twitter sentiment analysis based on ordinal regression project...
Great tutorials! All your code can run successfully and they are the most up-to-date! I am liking all your videos and look forward to your future ones!
I'm really happy that the videos could be useful 🙂
Your videos have rly been helping with my thesis, you're the real MVP, thanks!
Hi, my friend. I'm from Peru, I'm doing my thesis in sentiment Analysis, so thank you so much for your videos. My progress exists thanks to you hahaha
Almost forgot until the end that I watched the video at 2x speed and it felt natural at that speed lol
واقعا عالی بودش ؛ ممنون بابت اطلاعات مفیدتون
Your tutorials are really the best fr fr
Wow man!!! your tutorials are super easy to follow. I came across your channel searching something randomly. Wish you the best to grow this channel and bring more such videos.
Thanks a ton! I'm so happy that you found the videos helpful :-)
I just found your channel. i'm looking for this video. Thank you for sharing
the best videos ever, thanks !!!
Thanks Buddy
I first time visited you and this video helped me alot
This content is really educative. Learnt lots from it
Thank you, your videos are essential and very useful for those like me who approach this type of analysis
Great video, great content, and great lecture. I could easily understand it 🌹.
Thank you! can't wait to start my project :)
Really useful, and easy to follow video. Thanks for sharing.
Very very good tutorials! Both the quality of the video and the quality of how you explain the different code + a very good choice on what kind of video to make! 🙌 Keep going
Is it possible to have a video on how to catch the number of tweets that have been posted in the past x months/years from one specific account? Thank you
Thank you very much for the nice words and the suggestion :-)
Great video, easy to follow. thank you
dadash that was great damet gam❤❤❤
You’re a great teacher!
Thank you for your instruction. I followed through, made some modifications, and managed to do sentiment analysis for 5000 tweets. It took like 12 hours to do it though, with 7-8 seconds for each tweet. And for some reasons, all of the emojis were corrupted.
Those 'corrupter emojis' you're seeing are probably just utf8 encoded
thanks for the Video, please make more NLP videos!
Very useful. Thank you!
Great job. Please, what tool or process would you do to create a graphical dashboard to visualize the data?
Great Knowledge !!
hey , i have this error , do you know why please ?
NameError: name 'AutoModelForSequenceClassification' is not defined
Wonderful Video Thank you for uploading :)
Glad you enjoyed it!
thanks a lot mate.
Thanks bro, that was خفن !
Very good video thank you
would you please provide video about topic modeling as well?
Hi, It was helpful.
Can You Please Make video for this? "Automated Classification of Societal Sentiments
on Twitter With Machine Learning"
Ausome ! As an accountant, i am interested in getting into Python for various analysis . please which book to learn from from scratch and comprehensively.
Hi, thanks for sharing your knowledge. I want to know if i can use this for other language like Persian?
No more Free Access of Twitter API anymore, They cost you 100$ per month. I started this project and come to at the end while pulling the tweet request.
🤦 He has tutorial on getting tweets without api
everything imported fine but I'm getting a "tweet.words" not defined issue
how i can use a total dataset and get a sentiment calculation instead of using individual line as data??
Good code, can i use this code to have info about a stock?
Thank you bro!!
How to search tweets from a specific area. Can you please help me this?
@aispectrum, can I use the same roberto model for Instagram comments? I have the comments but not sure which model I have to use for sentimental analysis. Thanks for your content.
How do we know the sequence of the scores is Negative, Neutral and Positive. And everytime the output is going to be 3 scores? Is the output of raw scores given by Roberta cosine similarity? Unable to follow that part? Great insights though
any thoughts on a free api for today's tweets?
+ is this model pretrained only in english? would be nice to test some other languages as well...
wondering, if the model would work with another languages...
Hey, ur playlist helped me alot. I'm working on twitter data related to some social issues in our society (india). But majority of tweets are in regional languages. Tried using google translator API but results are not satisfactory. Can this model analyze all languages??
automodelforsequencetokenizer is not working (File not Found error.. while i have downloaded the transformer)
Can you develop a hashtag recommendation system for twitter in python using twitter datasets ?
i got a erroe names scipy is not defined plz help
i have a question that this sentiment analysis just works on comment that we put here or can we make sentiment analysis from the post of someone's comment/tweets section hope you understand
great thanks
is this module accurate for less obvious twits ?
is there a way to be able to do multiple tweets at once
I am working on Instagram sentiment analysis can you please suggest which dataset to use and which algorithm to use?
This script works for portuguese twittes: Or I must to change?
Is there a way to do multiple tweets at once
How can ı pass this emoji problem ? it always gives me an Unicode problem. 'charmap' codec can't encode character.
Still dont get it. please help 👍
Please, can you tell me what algorithm is used in this code? + how much accuracy is this dataset?
🙏🏻
Thank you Sir, how about non english dataset Sir?
use language translation in python, I came across a video in my language (Indonesia) that explained about it.
What are the consequences of using "max_length" with several tweets?
Because it's analyzing different tweets with different lengths that I joined in one text. If I use max_length "100", it means 100 tokens, am I correct? Which can be include tokens across different tweets... so, I am really struggling to run it over a large number of tweets.
Great video, just curious about how do I use Twitter data saved in a CSV file to make this work?
have you figured it out?
@@ethanboucher4682 not yet
@@limyong8823 Hola, lograste hacerlo?
Were you able to do this please
Hey, I wonder if the tweet must be in English only! can you pass the text in other language? like French or Spanish?
Good day, lovely tutorials. If I may ask, if one wants to do something similar for Instagram comments of a profile. How does one go about this?
"from transformers import AutoTokenizer [and/or] AutoModelForSequenceClassification" kills the kernel in jupyter notebook.
I've tried uninstalling and re-installing stuff, pip and conda, etc.
Would love a fix!
If it's fine, you can try google colab. I have tried it with colab and had no problem.
@@aispectrum Your solution worked. Thank you! I know this is a very simple question, but how do I modify your code to apply to a df of tweets instead of a single tweet? Presently, I can only do it by creating new variables ('encoded_tweets'; 'scores'; etc.) as empty lists of length equal to the length of my df then iterating through those lists. In R, I would just use "mutate" and it would be incredibly simply and fast.
FUCKING GREAT BRO!
Very helpful video. How would you go about doing this for a large list of tweets?
It is possible to do the same analysis for multiple tweets. After doing the preprocessing on the text (@username to user , etc), just pass the list of the tweets to the tokenizer (just make sure to specify the max_length, and padding=True,truncation=True) and get the encoded_tweet. After geting the output, you can get the scores by writing softmax(output[0].detach().numpy(), axis=1)
@Fixes and Updates [Muzaffar Seyed] Did you figure out?
@aispectrum encoded_tweet = tokenizer(tweet_proce, max_length = 100, padding = True, truncation = True, return_tensors= 'pt')
@@jesusbaug hi can u send the code of how we can give multiple tweets as input...
I have written tweet = ['Great content subscribed' , 'Hiii sir' ]
But when i am giving this in :
For word in tweet.spli() it is throwing error, can you help please
Great Video. I am having an error but I don't why. The error is 'RuntimeError: Numpy is not available', I already have installed Numpy, maybe You can help me. thanks buddy
why can’t I download transformers? I keep getting an error
When I try to reproduce your results, for output = model(**econded_tweet), on a different dataset, I get this error:
RuntimeError: The expanded size of the tensor (1114) must match the existing size (514) at non-singleton dimension 1. Target sizes: [146609, 1114]. Tensor sizes: [1, 514]
What can I do to fix it?
Same here
Hey ! Thanks a lot for your videos, helps so much ! I'm new in Python and I wanted to give a list of tweets (as you did in your video "How to get TWEETS by Python | Twitter API 2022") instead of a single tweet. I succeeded in getting every score for every tweet but it could be great to keep only the best score (and its corresponding label) for each. How would you do that ? Thanks a lot for your content !
Thanks. Maybe you can try this code to get the max and its label:
max_value = np.amax(scores)
max_label = labels[np.argmax(scores)]
@@aispectrum Thanks for your help. Works great but if I try to add it to the dataframe (to have the label and prediction), it is the sames values for all rows. For example "Neutral" and "0,75" for the first row and same for the following ones :/ Sorry for my lack of skills
Hey I'm also trying to get every score for every tweet but I just can't seem to get it, would you mind explaining it to me how you did it? :)))
hi please have you any idea how can i collect data from facebook like post i need to collect a dataset about corona
I have never worked with facebook. But I would first see if the facebook api can help in data collection, if not, you could try with web scraping.
Hello, would you use Sum or Mean to visualize the sentiments in presentable fashion ?
nice
Hello , found your labs very interesting and well-explained . I have a query sir. Sometime while fetching real - time tweets I get 403 response. I am having essential access on my twitter dev account. What could be reason ?
I believe because you have essential access, you cannot use the API v1.1 (tweepy.API). You could either request for an elevated access or try to use the API v2 instead (tweepy.Client).
How to track FREE real time hashtag of twitter Mr. Mehran????
should have applied to a dataframe of 10 tweets...
if anyone is interested: the above query can be achieved using following code (rest of the code stays the same)
# sentiment analysis
def SA(tweet_proc):
encoded_tweet= tokenizer(tweet_proc,return_tensors='pt')
output=model(**encoded_tweet)
scores=output[0][0].detach().numpy()
scores=softmax(scores)
ind=np.argmax(scores,axis=0)
return labels[ind]
df['SA'] = df['Text'].apply(SA)
Not really for begginer. You just mentioned all the steps but without explaining what they do especially for begginers🙃
Did not like it
100% useful
I seen way better methods...
Does both pytorch and tensorflow use my gpu for the sentiment analysis? I've managed to implement the code in my project, but the sentiment analysis runs very slow. Will it be faster if I switch to tensor flow and how do i do that?