convert.py

import csv
import random

import pandas as pd


def remap_polarity(row):
    if row["label"] < 2:
        row["label"] = 0
    else:
        row["label"] = 1
    return row


def run():
    rows = []

    with open(
        "training.1600000.processed.noemoticon.csv", "r", encoding="ISO-8859-1"
    ) as file:
        reader = csv.reader(file)
        for row in reader:
            rows.append({"label": int(row[0]), "text": row[5]})

    df = pd.DataFrame(rows)
    df.to_csv("complete.csv", index=False)

    polarity_rows = [remap_polarity(row) for row in rows if row["label"] != 2]
    positive_rows = [row for row in polarity_rows if row["label"] == 1]
    negative_rows = [row for row in polarity_rows if row["label"] == 0]
    min_size = min(len(positive_rows), len(negative_rows))
    polarity_rows = positive_rows[:min_size] + negative_rows[:min_size]

    random.shuffle(polarity_rows)

    df = pd.DataFrame(polarity_rows)
    df.to_csv("polarity.csv", index=False)


if __name__ == "__main__":
    run()