Finalytica May,2018: Knowledge Series & Experiential Learning
G-Square’s Fund Ranking Model
Background & Introduction
An investor seeking capital gain for lower risk will always turn towards Mutual Fund schemes as an investment option, reason being its diversification and professional management. However to identify a dynamic fund is not that easy.… Continue reading
Finalytica Knowledge Series – Sentiment Analysis
Introduction
Sentiment Analysis (SA) in business, also known as opinion mining (OM) is a process of identifying and cataloging a piece of text according to the tone conveyed by it. The text can be tweets, comments, feedbacks, news or random texts with positive, negative and neutral sentiments associated with them.… Continue reading
Finalytica February, 2018: EXPERENTIAL LEARNING
Applications of Text mining in G-Square’s Bigdator
G-Square Solutions applies Text Analytics in its Flagship product ‘Bigdator’. Bigdator uses Latent Dirichlet Allocation Model for Topic Modelling, Latent Semantic Analysis Model for summarizing a long article or comments and Support Vector Machine (SVM) model for sentiment analysis.… Continue reading
Finalytica, Feburary, 2018: Knowledge Series
Text Mining Analytics
Background
The term text analytics describes a set of linguistic, statistical, and machine learning techniques that model and structure the information content of textual sources for business intelligence, exploratory data analysis, research, or investigation.… Continue reading