Users of the internet, social media, online reviews, chatting message with many websites are the rich source of text data. Companies investing in text mining using R studio and its tools. You will know here what in text mining in r, and tools you need.

1. Text Mining in R
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2. What is Text Mining
1. Growing social media usage, free internet, online sales,
Reviews cause more text data available.
2. The above are top reasons companies looking user text
input to get insights from it.
3. Text mining means to get insights from user generated
text

3. Tools you need to start with Text mining
● The RAM of your Laptop or Desktop should be of 4GB
● Your OS can be Windows/Linux/Mac
● Install R Studio

4. Steps You Need
1. Goal
2. Identify data
3. Organize
4. Extract
5. Analyze
6. Get insghts

5. Process Flow in R Text Mining

6. Files and Web Sources for Text
● You can use .csv or .xlsx or .text as your input
● You can get data from web using Scraping or
Feed processing methods.

7. Realtime examples
1. Product reviews on Amazon or Flipkart are a great
source of text data. Get key words, where most of the
users asking some common features.
2. If you get these insights, you can increase sales by
incorporating these in your products.

8. Thankyou
For more information you can check at
Srinimf.com