PRACTICAL -5

Aim: Data pre-processing and text analytics using Orange.

What is text analytics ?

Text analytics is a automatic process to find patterns in a raw data in huge numbers and to use it for the growth of the organization. This helps organization to understand trends and make better decisions.

What is sentiment analysis?

Sentiment analysis refers to the use of natural language processing, text analysis, computational linguistics and biometrics to systematically identify, extract, quantify and study affective states and subjective information.

Can we get sentiments of any people on their tweet? Why it is useful?

Yes, we can get sentiments of people on their tweet. Based on the sentiment we can detect that it is positive, negative or neutral and based on the results we can take actions accordingly.

Pre-Processing on Data

We have performed various techniques for pre processing of data.

Discretization

Discretization is the process through which we can transform our continuous data into discrete form. We achieve this by making continuous intervals of equal length.

This is how we perform Discretization

This is how our data looks after Discretization.

Continuizetion

Continuizetion is the process where we can convert discretize attributes into continuous or we can remove discrete attributes from the table.

This is how we perform Continuization.

This is how our data looks after Continnuization.

Normalization

Normalization is converting the source data in to another format that allows processing data effectively. The main purpose of data normalization is to minimize or even exclude duplicated data.