Capstone Project Data Specialization

The goal of project is to create a “Word Prediction” app. Below are the main tasks to be perform on raw data:

• Data acquisition and cleaning: Read and clean the data
• Exploratory analysis: Explore n-grams
• Statistical modeling: Create a statistical model on the bases of data exploration
• Predictive modeling: Create a prediction model
• Creating a data product: Deploy final app to shiny

1. Create dataset from raw file (twitter 5%, news 3% and blogs 3%)
2. Calculate 2-grams and 3-grams
3. Create a data fram of words and their Frequency of each ngrams
4. Remove words with frequency 1
5. Prediction model…

1. Predictive model start with highest ngram in create, in this case 3 gram is highest.
2. Last two words from sentence is search in 3 gram, if not found then it will search in 2 gram
3. Once search is successfull in ngram, app will list 4 words which have highest occurance in decreasing order.

In the left-side box introduce your sentence and then press 'Submit' button. The predicted word will appear in the right-side of the screen.