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Sentiment analysis for mixed script Indic sentences
- Rupal Bhargava, Yashvardhan Sharma, Shubham Sharma
- Computer ScienceInternational Conference on Advances in Computing…
- 1 September 2016
This paper has attempted to develop a system for mining sentiments from code mixed sentences for English with combination of four other Indian languages, flexible and robust enough to handle additional languages for identification as well as anomalous foreign or extraneous words.
Opinion-Mining on Marglish and Devanagari Comments of YouTube Cookery Channels Using Parametric and Non-Parametric Learning Models
- Sonali Rajesh Shah, A. Kaushik, Shubham Sharma, Janice Shah
- Computer ScienceBig Data Cogn. Comput.
- 17 March 2020
Sentiment Analysis (SA) is carried out on the Marglish (Marathi + English) as well as Devanagari Marathi comments which are extracted from the YouTube API from top Marathi channels along with 3 different vectorizing techniques.
Cooking Is Creating Emotion: A Study on Hinglish Sentiments of Youtube Cookery Channels Using Semi-Supervised Approach
This study focuses on the sentiment analysis of Hinglish comments on cookery channels in India using the unsupervised learning technique DBSCAN and modelled and evaluated both parametric and non-parametric learning algorithms.
Compound Type Identification in Sanskrit: What Roles do the Corpus and Grammar Play?
- Amrith Krishna, Pavankumar Satuluri, Shubham Sharma, Apurv Kumar, Pawan Goyal
- Computer ScienceWSSANLP@COLING
- 1 December 2016
The experimental results validate the effectiveness of using lexical databases as suggested by Amba Kulkarni and Anil Kumar, and put forward a new research direction by introducing linguistic patterns obtained from Adaptor grammars for effective identification of compound type.
Development of language resources for speech application in Gujarati and Marathi
- Maulik C. Madhavi, Shubham Sharma, H. A. Patil
- Linguistics, PhysicsInternational Conference on Asian Language…
- 1 October 2014
It is found that CV (where, Consonant is followed by Vowel) type of syllables have highest occurrence in both the languages, Gujarati and Marathi.
News Analysis Using Word Cloud
- Chandrapaul, Rounak Soni, Shubham Sharma, Hemraj Fagna, S. Mittal
- Computer ScienceLecture Notes in Electrical Engineering
- 20 November 2018
A method has been proposed to instantly visualize the news topics discussed by various sources on internet and it is concluded that tf-idf is better than rake and text rank algorithm due to its right balance between speed and accuracy.
Query Labelling for Indic Languages using a hybrid approach
This paper presents the approach to handle labeling of queries as part of the FIRE2015 shared task on Mixed-Script Information Retrieval, a hybrid approach which involves rule based and machine learning techniques.
Bayesian learner based language learnability analysis of Hindi
- Sandeep Saini, Nitin Gupta, S. Bhogal, Shubham Sharma, V. Sahula
- Computer Science, LinguisticsInternational Conference on Advances in Computing…
- 1 September 2016
It is found that Hindi is better learnable using constrained learner models and shows better results in Bigram approach, which has implications for both theories of representation and theories of acquisition.
Significance of the levels of spectral valleys with application to front/back distinction of vowel sounds
An objective critical distance (OCD) has been defined as that spacing between adjacent formants, when the level of the valley between them reaches the mean spectral level, which is similar to that of the spacing between the formants with an added advantage that it can be measured from the spectral envelope without an explicit knowledge of formant frequencies.
CUIS Team for NTCIR-13 AKG Task
This paper describes the approach for Actionable Knowledge Graph (AKG) task at NTCIR-13, and employs supervised learning technique to improve performance by minimizing a simple position-sensitive loss function on additional manually annotated training data from the dry run topics.