Processed Twitter Sentiment Dataset | Added Tokens

Tokenized and Sentiment-Labeled Tweets for NLP and Machine Learning

@kaggle.halemogpa_processed

Table List

2 tables(184.2 MB)

Train Processed Sample

@kaggle.halemogpa_processed.train_processed_sample

1.21 MB
10000 rows
3 columns

text Text	sentiment Sentiment	tokens Tokens
@Farrahri ah. I tweetd to myself. -.- my holiday sucks. i have 1.5 years of concepts to remember for my mid years in a week. I'm dying.		['@farrahri', 'ah', '.', 'i', 'tweetd', 'to', 'myself', '.', '-.-', 'my', 'holiday', 'sucks', '.', ' ', 'i', 'have', '1.5', 'years', 'of', 'concepts', 'to', 'remember', 'for', 'my', 'mid', 'years', 'in', 'a', 'week', '.', 'i', "'m", 'dying', '.']
Going to be processing hundreds of pics tonite when home from yesterday's event.	1	['going', 'to', 'be', 'processing', 'hundreds', 'of', 'pics', 'tonite', 'when', 'home', 'from', 'yesterday', "'s", 'event', '.', ' ']
@dmbdork @spacebetween41 Thanks GOOD LUCK!	1	['@dmbdork', '@spacebetween41', ' ', 'thanks', ' ', 'good', 'luck', '!']
I'm at school, suppost to be doing maths! lol	1	['i', "'m", 'at', 'school', ',', 'suppost', 'to', 'be', 'doing', 'maths', '!', ' ', 'lol']
@KitiaraTomsen my girl is in tears im making her stay home.		['@kitiaratomsen', 'my', 'girl', 'is', 'in', 'tears', 'i', 'm', 'making', 'her', 'stay', 'home', '.', ' ']
Normally Fridays at work can't end soon enough. This time, not so much.		['normally', 'fridays', 'at', 'work', 'ca', "n't", 'end', 'soon', 'enough', '.', 'this', 'time', ',', 'not', 'so', 'much', '.']
IS TWITTER FIXED! I went to bed a bit sad last night		['is', 'twitter', 'fixed', '!', 'i', 'went', 'to', 'bed', 'a', 'bit', 'sad', 'last', 'night']
@campaignmonitor doesn't like my uploads today		['@campaignmonitor', 'does', "n't", 'like', 'my', 'uploads', 'today']
one tree hill	1	['one', 'tree', 'hill']
@dougiemcfly DOUGIE, if you don't talk to me, I'll be forced go to your home and kiss you, hm. haha, you're bad, you never answer! BAD!		['@dougiemcfly', 'dougie', ',', 'if', 'you', 'do', "n't", 'talk', 'to', 'me', ',', 'i', "'ll", 'be', 'forced', 'go', 'to', 'your', 'home', 'and', 'kiss', 'you', ',', 'hm', '.', 'haha', ',', 'you', "'re", 'bad', ',', 'you', 'never', 'answer', '!', 'bad', '!']


CREATE TABLE train_processed_sample (
  "text" VARCHAR,
  "sentiment" BIGINT,
  "tokens" VARCHAR
);