taset.csv) data set Tokenize
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Subject Artificial Intellegent. Please provide me the code to do the following tasks by using (twitter_sexism_parsed_dataset.csv) data set
- Tokenize
- Clean
Vectorize using- CountVectorization
- TF-IDF
- Create new features (feature engineering)
- Length of text field
- Percentage of characters that are punctuation in the text
- Using RandomForest, classify text into sexism or none
Complete the table below
|
Model |
Precision |
Recall |
Accuracy |
1 |
CountVectorizer + Length |
|
|
|
2 |
CountVectorizer + Length + %punct |
|
|
|
3 |
CountVectorizer + Length + %punct |
|
|
|
4 |
TF-IDF + Length |
|
|
|
5 |
TF-IDF + Length + %punct |
|
|
|
6 |
TF-IDF + Length + %punct |
|
|
|
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