Sentiment Analysis

We wanted to analyze a bit more about the electronics market. I wanted to conduct a sentiment analysis in the electronics brand market on amazon.

In sentinment analysis,

#import nltk
#f#rom nltk.probability import FreqDist
#from nltk.tokenize import RegexpTokenizer
#from nltk.stem import WordNetLemmatizer
import string
#from nltk.corpus import stopwords
#from nltk.util import ngrams
import pandas as pd
import re  # for working with regular expressions
import matplotlib.pyplot as plt
import seaborn as sns

lang="english"

import os
import json
import gzip
import pandas as pd
from urllib.request import urlopen

"""
# Path to your JSON file
file_path = 'Data/Electronics_5.json'

# Define chunk size
chunk_size = 1000  # Adjust this based on your memory constraints

# Create a JsonReader object
json_reader = pd.read_json(file_path, lines=True, chunksize=chunk_size)

# Initialize an empty DataFrame to hold the concatenated data
full_df = pd.DataFrame()

# Loop through the JsonReader object and concatenate each chunk
for chunk in json_reader:
    full_review = pd.concat([full_df, chunk], ignore_index=True)
"""

"\n# Path to your JSON file\nfile_path = 'Data/Electronics_5.json'\n\n# Define chunk size\nchunk_size = 1000  # Adjust this based on your memory constraints\n\n# Create a JsonReader object\njson_reader = pd.read_json(file_path, lines=True, chunksize=chunk_size)\n\n# Initialize an empty DataFrame to hold the concatenated data\nfull_df = pd.DataFrame()\n\n# Loop through the JsonReader object and concatenate each chunk\nfor chunk in json_reader:\n    full_review = pd.concat([full_df, chunk], ignore_index=True)\n"