In my last 6 posts on Text Analytics, I have discussed analysis of reviews and ratings given by customers seperately. Let us now compare the reviews written and ratings given by each customer. How many reviews matches with the ratings given. But before starting with the analysis work, lets have a look on the meaning[…]

Hope you have gone through all my previous posts on Text Analytics, if not please go through because this is in continuation with that starting from here. Classification is a data mining technique used to predict group membership for data instances. Following are the examples of cases where the data analysis task is Classification: A[…]

We have already extracted the ratings and it is saved on our system in Text Analytics Part I. Now I will be classifying customers of MOTO-G into three categories:- who are highly Impressed with this phone (ratings given = 4 and 5) who are Satisfied with this phone (rating given = 3) who are not[…]

Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). We have done cluster analysis separately for both terms and documents[…]

Till now we have done the very basic things in Text Analytics Part I and Text Analytics Part II. Now lets do some thing which is little difficult to understand, multidimensional thing, for this I have gone for dimension reduction i.e. Latent Semantic Analysis (LSA) using singular value decomposition (SVD) because of following two reasons:[…]

My last post was on web crawling and extraction of reviews and ratings from flipkart for MOTO G (2nd generation) phone. Hope you have files and R-code saved on your system. If not you can go through the post again, here is the link. Creation of Term-Document matrix: A document-term matrix or term-document matrix is[…]

Most of us use India’s most popular shopping site flipkart for viewing the specifications of electronic goods especially cell phones. Before buying any phone, people generally visit this site and look for reviews of their products which they are planning to buy. That’s why I have choosen this site as a work for my analysis and[…]

In probability theory, the central limit theorem states that if the population is normally distributed then samples will also be normally distributed for any sample size. But if population is not normal then sample will be normally distributed if sample (of size n) are drawn randomly from a population that has a mean of µ[…]

In a statistical hypothesis test, there are two types of incorrect conclusions that can be drawn. The hypothesis can be inappropriately rejected (this is called type I error), or one can inappropriately retain the hypothesis (this is called type II error). The Greek letter α is used to denote the probability of type I error,[…]

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