getting error on nlp$($df$[\text{'}$clean$\_$text'$].$iloc$[99])$: 'int' object is not subscriptable error.

import pandas as pd

import spacy

# Load your dataset

# df $=$ pd$.$read$\_$csv$(\text{'}$path$\_$to$\_$your$\_$dataset.csv$\text{'})$

# Load the spaCy model

nlp $=$ spacy.load$(\text{'}$en$\_$core$\_$web$\_$md$\text{'})$ # or $\text{'}$en$\_$core$\_$web$\_$lg$\text{'}$

# Assuming the $100$th tweet is at index $99$

reference$\_$tweet $=$ nlp$($df$[\text{'}$clean$\_$text'$].$iloc$[99])$

# Function to compute similarity

def compute$\_$similarity$($tweet$)$:

return reference$\_$tweet.similarity$($nlp$($tweet$))$

# Apply the function to compute similarity for each tweet

df$[\text{'}$similarity$\text{'}]=$ df$[\text{'}$clean$\_$text'$].$apply$($compute$\_$similarity$)$

# Filter tweets with similarity $>60\%$

similar$\_$tweets $=$ df$[$df$[\text{'}$similarity$\text{'}]>0\mathrm{.}6]$

# Display the similar tweets

print$($similar$\_$tweets$)$