Sentiment Analysis Using Machine Learning algorithm
It's a review paper that describes the essential steps used in the process of the sentiment analysis and few fields that work under its umbrella. A comparative analysis of machine learning algorithm like Naive Bayes, SVM, maximum entropy is done along with the few algorithms like artificial neural network and K-nearest neighbor, which can be used in sentiment analysis.
An ex-Infosys Software Engineer and a Computer Science Engineering graduate from UPES. For the love of data science, I pursued Masters in Computer Science and published my research work on sentiment analysis in renowned international journals of the publishers such as Springer and Scopus. I like to play with data sets and enjoy discovering hidden patterns in data as much as I love to play synthesizer. Major Skills: ✅Data mining, data extraction, web scraping ✅ Data Visualization ✅ R, Python ✅Machine Learning ✅Research Oriented ✅Data cleaning ✅Data transformation ✅Web Scraping (using R and python) ✅NLP ✅Data Visualization(using ggplot) ✅MSOffice Additional Services: ✅Data entry ✅Web research