remove html tags

import pandas as pd
import csv
import numpy as np
import re
with open(r"D:\Users\sentiment analysis\sentiment\sentiment3.csv", newline='') as f:
    reader = csv.reader(f)
    data = list(reader)

def replace_chars(s):
    s= s.replace('<', '')
    s=s.replace('"','')
    s=s.replace('&','')
    s=s.replace(''','')
    return s

def recursively_apply(l, f):
    for n, i in enumerate(l):
        if type(i) is list:
            l[n] = recursively_apply(l[n], f)
        elif type(i) is str:
            l[n] = f(i)
    return l

data=recursively_apply(data, replace_chars)
headers =["target","id","date","flag",'user',"text"]
data=pd.DataFrame(data,columns=headers)

def remove_pattern(input_txt, pattern):
    r = re.findall(pattern, input_txt)
    for i in r:
        input_txt = re.sub(i, '', input_txt)

    return input_txt
data['tweet'] = np.vectorize(remove_pattern)(data['text'], "@[\w]*")
data['tweet'] = data['tweet'].replace(r'http\S+', '', regex=True).replace(r'www\S+', '', regex=True)
data['tweet'] = data['tweet'].apply(lambda x: ' '.join([w for w in x.split() if len(w)>3]))
data['tweet'] = data['tweet'].str.replace('[^\w\s]','')