55 citations · 110 across the 22 of their papers we have counts for
6 papers · 2 filters
Towards Enhancing Lexical Resource and Using Sense-annotations of OntoSenseNet for Sentiment Analysis
Sreekavitha Parupalli, Vijjini Anvesh Rao, Radhika Mamidi
This paper illustrates the interface of the tool we developed for crowd sourcing and we explain the annotation procedure in detail. Our tool is named as 'Parupalli Padajaalam' whic…
BCSAT : A Benchmark Corpus for Sentiment Analysis in Telugu Using Word-level Annotations
Sreekavitha Parupalli, Vijjini Anvesh Rao, Radhika Mamidi
The presented work aims at generating a systematically annotated corpus that can support the enhancement of sentiment analysis tasks in Telugu using word-level sentiment annotation…
Towards Automation of Sense-type Identification of Verbs in OntoSenseNet(Telugu)
Sreekavitha Parupalli, Vijjini Anvesh Rao, Radhika Mamidi
In this paper, we discuss the enrichment of a manually developed resource of Telugu lexicon, OntoSenseNet. OntoSenseNet is a ontological sense annotated lexicon that marks each ver…
Automatic Target Recovery for Hindi-English Code Mixed Puns
Srishti Aggarwal, Kritik Mathur, Radhika Mamidi
In order for our computer systems to be more human-like, with a higher emotional quotient, they need to be able to process and understand intrinsic human language phenomena like hu…
Addition of Code Mixed Features to Enhance the Sentiment Prediction of Song Lyrics
Gangula Rama Rohit Reddy, Radhika Mamidi
Sentiment analysis, also called opinion mining, is the field of study that analyzes people's opinions,sentiments, attitudes and emotions. Songs are important to sentiment analysis…
Context and Humor: Understanding Amul advertisements of India
Radhika Mamidi
Contextual knowledge is the most important element in understanding language. By contextual knowledge we mean both general knowledge and discourse knowledge i.e. knowledge of the s…