May 2, 2020
Predict BJP Congress Sentiment using Deep Learning Motivation India’s most anticipated events of 2019 — General Elections of Lok Sabha is knocking our doors! The prominent parties standing for the elections, party leaders and representatives have a busy schedule organizing campaigns and convincing people to vote. While the media is busy capturing all events starting from press conferences to any gatherings, and putting it in front of public, the public is deeply engrossed with latest […]
Motivation: The General Elections in India are scheduled to be held between April and May. The volume of data generated through news and social media is huge. What an intriguing project to take up as a data scientist! Data Science offers algorithms to analyze those text, audio, and video data to infer the nation’s sentiment before, during, and after the elections. The statistical analysis of information available from all sources can provide a deep insight […]
Introduction Sentiment analysis has been predominantly used in data science for analysis of customer feedbacks on products and reviews. They are used to understand user ratings on different kinds of products, hospitality services like travel, hotel bookings. It has also become popular to analyse user tweets — positive, negative or neutral by crawling twitter through APIs. In this article, we talk about sentiment analysis of the upcoming Lokshobha Elections for Congress and BJP by crawling […]
Inverted Indexing and Scalable Search techniques Motivation The amount of data is growing exponentially every day and the volume has increased incredibly over the last few years. With this accelerated growth of data, it has now become important to search collections quickly to serve business decisions and customer queries both offline and online. To process large document collections quickly, at the order of billions to trillions of word per second, the search concept of inverted […]
