Please tell in the notebook how to get the authentication keys.

Great tutorial @llSourcell !
The code needs only a simple fix:

Cell 5

import nltk
nltk.download('lexicon')

should be replaced with

import nltk
nltk.download('vader_lexicon')

Your quiz grade failed. Quiz requirement 80%

I can't find places to restart the quiz.

I am pasting the error message below:

TweepError Traceback (most recent call last)
in ()
4 api = tweepy.API(auth)
5
----> 6 tweets = api.search('Artificial Intelligence', count=200)
7
8

/usr/local/lib/python3.6/dist-packages/tweepy/binder.py in _call(*args, **kwargs)
248 return method
249 else:
--> 250 return method.execute()
251
252 # Set pagination mode

/usr/local/lib/python3.6/dist-packages/tweepy/binder.py in execute(self)
232 raise RateLimitError(error_msg, resp)
233 else:
--> 234 raise TweepError(error_msg, resp, api_code=api_error_code)
235
236 # Parse the response payload

TweepError: [{'code': 215, 'message': 'Bad Authentication data.'}]

Hi @llSourcell. Firstly, kudos to you for your DataLit initiative.

Sentiment Analysis has always been one of my favorite topics. Not only because it's fun but also for its offering for real-world business use-cases. I wrote this tutorial last year to introduce the problem of Sentiment Analysis in a bit more formal way but tried to keep the language as simple as possible so that beginners can easily pick it up. It would be great if you could add it to the list of resources pertaining to Sentiment Analysis. on the respective video of this tutorial. Here's the list of contents I covered in the article:

I'm getting an error when I'm running the 6th block at CoLab. The code however is running fine on my local computer. Please advise. Thank you.

Pasting the error.

TypeError Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/pandas/core/indexes/base.py in get_value(self, series, key)
2565 try:
-> 2566 return libts.get_value_box(s, key)
2567 except IndexError:

pandas/_libs/tslib.pyx in pandas._libs.tslib.get_value_box()

pandas/_libs/tslib.pyx in pandas._libs.tslib.get_value_box()

TypeError: 'str' object cannot be interpreted as an integer

During handling of the above exception, another exception occurred:

KeyError Traceback (most recent call last)
in ()
5
6 for index, row in data.iterrows():
----> 7 ss = sid.polarity_scores(row["Tweets"])
8 listy.append(ss)
9

/usr/local/lib/python3.6/dist-packages/pandas/core/series.py in getitem(self, key)
621 key = com._apply_if_callable(key, self)
622 try:
--> 623 result = self.index.get_value(self, key)
624
625 if not is_scalar(result):

/usr/local/lib/python3.6/dist-packages/pandas/core/indexes/base.py in get_value(self, series, key)
2572 raise InvalidIndexError(key)
2573 else:
-> 2574 raise e1
2575 except Exception: # pragma: no cover
2576 raise e1

/usr/local/lib/python3.6/dist-packages/pandas/core/indexes/base.py in get_value(self, series, key)
2558 try:
2559 return self._engine.get_value(s, k,
-> 2560 tz=getattr(series.dtype, 'tz', None))
2561 except KeyError as e1:
2562 if len(self) > 0 and self.inferred_type in ['integer', 'boolean']:

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_value()

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_value()

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()

pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()

KeyError: 'Tweets'

Siraj - Love this video! I have never commited, pulled or done any changes to another person's repository so I thought I would leave it here.

When you perform a search using api.search in tweepy, if you run it the way you have specified it will recover the old character limit (140 characters, ends with "..."). I read through the Twitter Dev API documentation and its a pretty easy fix to get the full 280 characters.

Please note, that the behavior of RT/"Retweets" still only returns 140 characters, but still is searching correctly.

Keep up the videos!

Zac

auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)

api = tweepy.API(auth)

tweets = api.search('Artificial Intelligence', count=200, tweet_mode = 'extended')

data = pd.DataFrame(data=[tweet.text full_text for tweet in tweets], columns=['Tweets'])
display(data.head(10))
print(tweets[0].created_at)

hey Siraj!!!
your code containing nltk.download('lexicon') is not working anymore.
you should update it with nlkt.download('vader-lexicon')

import nlkt nltk.download('vader-lexicon')

cheers!!!

Love from India,
Abhisek Ganguly