NLP-Dataset

POS, Entity and Text for Sentiment, Emotion, Polarity, Subjectivity, Bias, Irony, Gender, Audience data-set

Download data-set from here, dataset.zip

Every folder got:

1. data, text data-set, cleaned
2. pos, speech tagging, only select NOUNS and VERBS
3. token, tokenize for POS
4. entity, PERSON / ORG in the text
5. vocabulary, unique words
6. dictionary, word map with position frequency
7. reverse dictionary, position frequency map with word

Sentiment

1. negative
2. positive

Audience

1. constituency
2. national

Bias

1. neutral
2. partisan

Emotion

1. anger
2. fear
3. joy
4. love
5. sadness
6. surprise

Gender

1. brand
2. female
3. male
4. unknown

Irony

1. negative
2. positive

Message

1. attack
2. constituency
3. information
4. media
5. mobilization
6. other
7. personal
8. policy
9. support

Polarity

1. negative
2. positive

Subjectivity

1. negative
2. positive