Text Mining and Natural Language Processing in R
Hands-on text mining and natural language processing (NLP) training for data science applications in R
BECOME AN EXPERT IN TEXT MINING & NATURAL LANGUAGE PROCESSING :
My course will help you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement R based data science in real life. After taking this course, you’ll easily use packages like caret, dplyr to work with real data in R. You will also learn to use the common social media mining and natural language processing packages to extract insights from text data. I will even introduce you to some very important practical case studies - such as identifying important words in a text and predicting movie sentiments based on textual reviews. You will also extract tweets pertaining to trending topics and analyze their underlying sentiments and identify topics with Latent Dirichlet allocation. With this Powerful course, you’ll know it all: extracting text data from websites, extracting data from social media sites and carrying out analysis of these using visualization, stats, machine learning, and deep learning!
Start analyzing data for your own projects, whatever your skill level and Impress your potential employers with actual examples of your data science projects.
HERE IS WHAT YOU WILL GET:
- Data Structures and Reading in R, including CSV, Excel, JSON, HTML data.
- Web-Scraping using R
- Extracting text data from Twitter and Facebook using APIs
- Extract and clean data from the FourSquare app
- Exploratory data analysis of textual data
- Common Natural Language Processing techniques such as sentiment analysis and topic modelling
- Implement machine learning techniques such as clustering, regression and classification on textual data
- Network analysis
Plus you will apply your newly gained skills and complete a practical text analysis assignment
We will spend some time dealing with some of the theoretical concepts. However, majority of the course will focus on implementing different techniques on real data and interpret the results.
After each video you will learn a new concept or technique which you may apply to your own projects.
Hi! We are UpDegree, providing high quality interactive course.
We are the team of 100+ instructor over the globe. Adel (Oxford), Anand (Standford), Akash (IITB), Rajib (IITK), Partha (IITM) are few of them.
Updegree courses are different, In each and every course you not only get the videos lectures but you also get quiz,code,assignment etc to test your practical understanding!
StartRead in Data from Online HTML Tables-Part 1 (11:07)
StartRead in Data from Online HTML Tables-Part 2 (14:31)
StartGet and Clean Data from HTML Tables (12:56)
StartRead Text Data from an HTML Page (4:06)
StartIntroduction to Selector Gadget
StartMore Webscraping With rvest-IMDB Webpage (6:13)