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: April, 2018

Latest happenings in Analytics, AI and Fintech world

As per a study Unlocking the economic impact of digital transformation in Asia Pacific, commissioned by Microsoft in partnership with IDC Asia/Pacific. It has said that by the year 2021, over 60 percent of India’s GDP would be derived from digital products and services such as AI, IoT and cloud computing.

Credit Risk analytics on the go – Solving typical Credit risk problems

Problem statements

Customers typically wants to automate the process of loans underwriting by using applicants personal data & underwriters comments data of past applications. Thus Clients want an automated solution for processing loans on the go for onboarding new customers

Solutions

We analyse the demographics, various scores of applicants & textual comments & identify most important factors which will help in the rejection or approval of applications.… Continue reading

News and happenings in Analytics and Fintech world: March 2018

1) Eight Analytics Trends for the Intelligent Enterprise identified in a report by Microstrategy:

AI will reshape analytic and business innovation
Competition for data science and analytics talent
Convergence of real-time and Batch-based analytics
Voice and natural language interfaces become mainstream
Convergence
Emergence of augmented analytics
Machine learning, AI and edge and video analytics
Access vs.

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

Happenings February 2018

HAPPENINGS IN THE ANALYTICS, FINTECH & AI WORLD

Emerging technology got prominent mention in the India Union Budget 2018-19. Federal policy think tank NITI Aayog will initiate a national program on artificial intelligence, and the Department of Science & Technology will launch a mission to support investments in research and training in robotics, artificial intelligence, digital manufacturing, big data analytics, quantum communication and internet of things.

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

Value at Risk

Market risk refers to the risk of losses in an organisations trading book due to changes in equity prices, interest rates, credit spreads, foreign-exchange rates, commodity prices, and other indicators whose values are set in a public market. To manage market risk, organizations deploy a number of highly sophisticated mathematical and statistical techniques.… Continue reading

Finalytica Jan-2018

A quick preview of developments in Analytics and AI space in India in 2017

Amazon Web Services adds AI to cloud by adding services such as image analysis, visual search, speech recognition among others
Google is upping its stake in India big time on AI and ML with Cloud India Region by announcing setting up its first cloud region in Mumbai within this year.

Fund Transfer Pricing

What is a Fund Transfer Pricing System and why is it needed?

A Funds transfer pricing (FTP) is the process through which banks

and other financial institutes allocate their earnings to the various lines of businesses in which they are engaged.… Continue reading

Happenings in AI, Analytics & Fintech world: December 2017

Stock Exchanges in India are exploring the opportunity to venture beyond the current businesses to create data repository services, Artificial Intelligence or a big data analytics eco-system. Last week, the Bombay Stock Exchange and the National Stock Exchange sought Securities and Exchange Board of India (SEBI)’s permission to form a separate entity to take on these businesses.

Primitives for AI

Let’s say I want to build a financial market prediction model based on news flow. The current way to do this is:

Collect lot of news articles
Collect financial market movement data
Use machine learning models (black-box or otherwise) to predict markets from news

This is not a scalable model of operation for building AI/ML solutions.