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Data perspective
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Big Data, Data Science, Cloud, Data Mining, Analytics, Other
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Suresh kumar gorakala's Blog

Principal Component Analysis using R

Posted on February 28, 2016 at 9:30pm 0 Comments

Curse of Dimensionality:

One of the most commonly faced problems while dealing with data analytics problem such as recommendation engines, text analytics is high-dimensional and sparse data. At many times, we face a situation where we have a large set of features and fewer data points, or we have data with very high feature vectors. In such scenarios, fitting a model to the dataset, results in lower predictive power of the model. This scenario is often termed as…


Learn Everything about Sentiment Analysis using R

Posted on January 11, 2016 at 6:00am 0 Comments

Today I will explain you how to create a basic Movie review engine based on the tweets by people using R. The implementation of the Review Engine will be as follows:
  • Gets Tweets from Twitter
  • Clean the data
  • Create a Word Cloud
  • Create a data dictionary
  • Score each tweet.

Gets Tweets from Twitter:

First step is to fetch the data from Twitter. In R, we have facility to call the twitter API using package…

Topic Modeling in R

Posted on December 23, 2015 at 8:30pm 0 Comments

As a part of Twitter Data Analysis, So far I have completed Movie review using RDocument Classification using RToday we will be dealing with discovering topics in Tweets, i.e. to mine the tweets data to discover underlying topics– approach known as Topic Modeling.

What is Topic…

Basic recommendation engine using R

Posted on October 13, 2015 at 6:30am 0 Comments

Originally posted here

In our day to day life, we come across a large number of Recommendation engines like Facebook Recommendation Engine for Friends’ suggestions, and suggestions of similar Like Pages, Youtube recommendation engine suggesting videos similar to our previous searches/preferences. In today’s blog post I will explain how to build a basic…

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