Meta Analysis is a systematic way to combine the findings (both Qualitative and Quantitative) from several selected studies to arrive at a single conclusion that has greater statistical power. Meta-Analysis is a type of systematic review (which answers the research questions by collecting and summarizing all empirical findings that are selected basis pre-specified criteria. The conclusion based on meta-analysis is statistically stronger than that from each of the individual studies. […]
Businesses need to leverage Natural Language Processing for sentiment analysis in order to better understand their customers. Let us discuss this statement in more detail to get a better understanding about how your business can benefit from the use of Natural Language Processing. Social Data offers a tremendous opportunity to businesses to capture the opinions, sentiments, needs, and intent of their customers/or potential customers. Sentiment (both positive and negative) offer […]
Natural Language Processing also abbreviated as NLP can be understood as the interpretation and manipulation of the natural language (like tweets, newspaper articles, books, etc.) by a software or computer. It is a branch of artificial intelligence that helps computers in understanding, interpreting, and manipulating human language. Natural language processing aims to fill the gap that exists between human communication and computer interpretation and it draws is existence from many […]
This is the introductory post in the series of articles on machine learning techniques that I am going the share in coming days. My objective is to help you understand the domain of machine learning and the different tools that are available for us to solve real life problems. Lets enter into the worlds of Machine learning!! If you are already familiar with some basics of machine learning then you […]
The term multiple regression (linear regression analysis with more than one variable) was first used by Pearson in 1908. Multiple regression is a statistical technique that help us in understanding about the relationship between several independent or predictor variables and a dependent variable (also called criterion variable). Let us take an example to understand this in some detail. Suppose that you are a researcher and you record data of 1000 MBA […]
