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Add files classified as positive and negative reviews #1

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Add files classified as positive and negative reviews #1

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6 changes: 5 additions & 1 deletion README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,10 @@ The dataset construction is based on the method noted in [Large movie review dat
- `ratings.txt`: All 200K reviews
- `ratings_test.txt`: 50K reviews held out for testing
- `ratings_train.txt`: 150K reviews for training
- Classified by rating
- These files have no header line and have only one column, `document`
- `reviews.pos`: Positive 100K reviews
- `reviews.neg`: Negative 100K reviews

## Characteristics

Expand All @@ -27,7 +31,7 @@ The dataset construction is based on the method noted in [Large movie review dat
- Neutral reviews (originally reviews of ratings 5-8) are excluded

## Quick peek

(files with filename beginning with `rating`)
$ head ratings_train.txt
id document label
9976970 아 더빙.. 진짜 짜증나네요 목소리 0
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11 changes: 11 additions & 0 deletions code/classify.py
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@@ -0,0 +1,11 @@
import csv

with open("../ratings.txt", "r", encoding="utf-8") as tsv, open("../reviews.pos", "w") as reviews_pos, open("../reviews.neg", "w") as reviews_neg:
tsv = csv.reader(tsv, delimiter='\t')

for row in tsv:
if row[2] == "1":
reviews_pos.write(row[1] +"\n")
elif row[2] == "0":
reviews_neg.write(row[1] +"\n")

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