Sentiment Analysis with Model Deployment -- 2
Budget: $100 – $200 USD
I wanna make a simple project with the following steps:
1. collect the customer's feedback and the product itself for the mobile category from Amazon, BestBuy, and Walmart via web scrapping and also use Tweepy to collect the customer's feedback "to display them as testimonials and we will discuss that later" after that I have to store the results in separated CSV files.
2. After that I have to make a scheme via spark SQL or AWS Crawler "Glue" and integrate the 3 CSV to one data lake.
3. After that we have to do sentiment analysis and get the results via the NLTK library.
4. And also we have to do some queries based on spark SQL to get some insights.
5. Then we have displayed the results and link them to the HTML page "I will send the page prototype when we talk about the project details".
1. collect the customer's feedback and the product itself for the mobile category from Amazon, BestBuy, and Walmart via web scrapping and also use Tweepy to collect the customer's feedback "to display them as testimonials and we will discuss that later" after that I have to store the results in separated CSV files.
2. After that I have to make a scheme via spark SQL or AWS Crawler "Glue" and integrate the 3 CSV to one data lake.
3. After that we have to do sentiment analysis and get the results via the NLTK library.
4. And also we have to do some queries based on spark SQL to get some insights.
5. Then we have displayed the results and link them to the HTML page "I will send the page prototype when we talk about the project details".