Sentiment Analysis (yelp academic database)


I have a part of my program I need help with. The goal is to perform automated customer sentiment analysis of the Yelp's Academic Dataset (specifically analyzing the 'review text' to compute a sentiment score). You will be using the NLTK python package as well.

The instruction is attached so if interested, please read through it and let me know. I need someone who understands the instruction and is able to follow it completely.

I am looking at around $30 since it's not a big program, only some large data files so it's easy pocket change for those who are experts in python.

Please look over the [url removed, login to view] first. I will provide the necessary zip files if an agreement has been made.

My deadline is Friday April 5th before 3AM (EST - Eastern Standard Time).

Skills: Python

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Project ID: #4395979

1 freelancer is bidding on average $50 for this job


Hi, I have used nltk for some analysis before. I also did sentiment analysis using Naive Bayes. I can finish that task in a few hours.

$50 USD in 1 day
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