# Instructions to use the Amazon Product Customer Review Sentiment Analysis Application
# This code requires Python version 3.6 or later and Anaconda 1.8.7 or later

# The dataset used is from Kaggle Website - https://www.kaggle.com/PromptCloudHQ/amazon-reviews-unlocked-mobile-phones
# The dataset has 6 fields and 400K Customer Reviews on the product Unlocked Mobile Phones sold by Amazon

Code Help from Kernel:https://www.kaggle.com/leofunny/sentiment-analysis-amazon
		      https://www.kaggle.com/rmalshe/comprehensive-analysis-of-the-phone-world
		      https://www.kaggle.com/nafisur/2-sentiment-analysis-amazon-mobile-review

		      

1. Installation of Libraries

pip3 install wordcloud

2. Installation of nltk libraries

# The code contains all the import statement from the nltk libraries like wordcount,sentiment.vader,SentimentIntensityAnalyzer

3. The code consist of all the Pandas, Numpy and Scikit-learn libraries

# If nltk is not installed in the machine then run the following lines of code.
nltk.download()