Rajiv Bajpai Bajpai

Nanyang Technological University | ntu · School of Computer Engineering

With the multitude of companies and organizations abound today, ranking them and choosing one out of the many is a difficult and cumbersome task. Although there are many available metrics that rank companies, there is an inherent need for a generalized metric that takes into account the different aspects that constitute employee opinions of the com...

In this paper, we present Singlish sentiment lexicon, a concept-level knowledge base for sentiment analysis that associates multiword expressions to a set of emotion labels and a polarity value. Unlike many other sentiment analysis resources, this lexicon is not built by manually labeling pieces of knowledge coming from general NLP resources such a...

Affective computing is an emerging interdisciplinary research field bringing together researchers and practitioners from various fields, ranging from artificial intelligence, natural language processing, to cognitive and social sciences. With the proliferation of videos posted online (e.g., on YouTube, Facebook, Twitter) for product reviews, movie...

We propose a data-driven method for automatic deception detection in real-life trial data using visual and verbal cues. Using OpenFace with facial action unit recognition, we analyze the movement of facial features of the witness when posed with questions and the acoustic patterns using OpenSmile. We then perform a lexical analysis on the spoken wo...

Hitherto, sentiment analysis has been mainly based on algorithms relying on the textual representation of online reviews and microblogging posts. Such algorithms are very good at retrieving texts, splitting them into parts, checking the spelling, and counting their words. But when it comes to interpreting sentences and extracting opinionated inform...

In this paper an efficient FPGA implementation of a packet pre-filtering algorithm based on Bloom filter is presented. In high speed link the traffic classification involves a very large amount of data per each packet processed (header and payload analysis). This leads to use hardware with high computational power and very expensive, in order to su...

This paper describes a supervision system for photovoltaic power plants. Data from devices of photovoltaic plant are collected and analyzed monitoring the plant behavior. The supervision system can control the device varying their functionality. It integrates different features which are usually demanded to single separated subsystems and specific...

In this paper an efficient FPGA implementation of a packet pre-filtering algorithm based on Bloom filter is presented. In high speed link the traffic classification involves a very large amount of data per each packet processed. Both header and payload should be analyzed. This leads to use hardware with high computational power and very expensive,...