tweets_train.txt was missing
@ -185,7 +185,7 @@ As explained in the ressource, the Bag of word reprensation makes the assumption
- Wordcount: Each document is a word count vector
- TFIDF: Each document is a score vector. The score is detailed in the next exercise.
The data `tweets_train.txt` contains tweets labeled with a sentiment. It gives the positivity of a tweet.
The data file [tweets_train.txt](resources/tweets_train.txt) contains tweets labeled with a sentiment. It gives the positivity of a tweet.
Steps: