Natural language processing and sentiment analysis
This program is used to get details of different types of stores, restaurant, cafes etc. from foursquare.com using its api and compare them on the basis of their ratings, number of comments and infact types of comment. I used natural language processing and sentiment analysis technique to find the most good commented store.
Hakkımda
* Python * JavaScript * React * Web Scraping * Automation * Django * Flask * Desktop Application * GUI * Git * Data Science * Machine Learning * Google Cloud * AWS I have good experience in python. And have made desktop apps related to Neural Networks, Machine Learning, Web Scraping, Image Recognition, etc, . I have good experience in dealing with hardware too. I have made lots of project using raspberry pi and arduino. In web scraping I can put myself in expert category as I have scraped almost all type of websites. I have expertise in requests, automation. I can website logins from request only. Automation is only used when it is necessary. I can bypass different issues like geo-location, blocking, captcha solving, etc,. to scrape a website. I am here to make good reputation, enhancing my skills & make some good business relations. Feel free to message me and ask any question.
