Department of Computer Science and Information Systems: Recent submissions

  • Composite Sequential Modeling for Identifying Fake Reviews 
    Sharma, Yashvardhan (De Gruyter, 2018-04)
    This paper presents a comprehensive analysis and comparison of various proposed sequential models based on different deep networks such as the convolutional neural network, long short-term memory, and recurrent neural ...
  • Neural Network-Based Architecture for Sentiment Analysis in Indian Languages 
    Sharma, Yashvardhan (De Gruyter, 2018-06)
    Sentiment analysis refers to determining the polarity of the opinions represented by text. The paper proposes an approach to determine the sentiments of tweets in one of the Indian languages (Hindi, Bengali, and Tamil). ...
  • Bits_Pilani@INLI-FIRE-2017:Indian Native Language Identification using Deep Learning 
    Sharma, Yashvardhan (CEUR, 2017)
    The task of Native Language Identification involves identifying the prior or first learnt language of a user based on his writing technique and/or analysis of speech and phonetics in second language. There is a surplus ...
  • Catchphrase Extraction from Legal Documents Using LSTM Networks 
    Sharma, Yashvardhan (CEUR, 2017-12)
    Legal texts usually have a complex structure and reading through them is a time-consuming and strenuous task. Hence it is essential to provide the legal practitioners a concise representation of the text. Catchphrases ...
  • BITS_PILANI@IMRiDis-FIRE 2017: Information Retrieval from Microblog during Disasters 
    Sharma, Yashvardhan (CEUR, 2017-12)
    Microblogging sites like Twitter are increasingly being used for aiding relief operations during disaster events. In such situations, identifying actionable information like needs and availabilities of various types of ...
  • Gender Identification in Russian Texts 
    Sharma, Yashvardhan (CEUR, 2017-12)
    The last few years have seen a massive research related to automatic retrieving of information from the text, mainly the information about its author (authorship profiling) like gender, age etc. The automatic extraction ...
  • Deep Paraphrase Detection in Indian Languages 
    Sharma, Yashvardhan (ACM Digital Library, 2017)
    This paper presents an approach to the problem of paraphrase identification in English and Indian languages using Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN). Traditional machine learning approaches ...
  • MSATS: Multilingual sentiment analysis via text summarization 
    Sharma, Yashvardhan (IEEE, 2017)
    Sentiment Analysis has been a keen research area for past few years. Though much of the exploration that has been done supports English language only. This paper proposes a method using which one can analyze different ...
  • Named Entity Recognition for Code Mixing in Indian Languages using Hybrid Approach 
    Sharma, Yashvardhan (CEUR, 2016-12)
    Automating the process of Named Entity Recognition has received a lot of attention over past few years in Social Media Text. Named Entities are real world objects such as Person, Organization, Product, Location. Identifying ...
  • Modeling Classifier for Code Mixed Cross Script Questions 
    Sharma, Yashvardhan (CEUR, 2016)
    With a boom in the internet, the social media text had been increasing day by day and the user generated content (such as tweets and blogs) in Indian languages are written using Roman script due to various socio-cultural ...
  • BITS_PILANI@DPIL-FIRE2016:Paraphrase Detection in Hindi Language using Syntactic Features of Phrase 
    Sharma, Yashvardhan (CFIR, 2016-12)
    Paraphrasing means expressing or conveying the same mean- ing or essence of a sentence or text using different words or rearrangement of words. Paraphrase detection is a chal- lenge, especially in Indian languages like ...
  • Sentiment analysis for mixed script Indic sentences 
    Sharma, Yashvardhan (IEEE, 2016)
    India is a multi-lingual and multi-script country. Developing natural language processing techniques for Indic languages is an active area of research. With the advent of social media, there has been an increasing trend ...
  • ATSSI: Abstractive Text Summarization Using Sentiment Infusion 
    Sharma, Yashvardhan (Elsevier, 2016)
    Text Summarization is condensing of text such that, redundant data are removed and important information is extracted and represented in the shortest way possible. With the explosion of the abundant data present on social ...
  • Effort Estimation for Program Modification in Object Oriented Development 
    Sharma, Yashvardhan (Springer, 2016-07)
    One of the major problems faced by software developers and managers is the estimation of efforts for the development and maintenance of a programming system. In this paper, estimation of efforts needed to update programs ...
  • Query Labelling for Indic Languages using a hybrid approach 
    Sharma, Yashvardhan (CEUR, 2015)
    With a boom in the internet, social media text has been increasing day by day. Much of the user generated content on internet is written in a very informal way. Usually people tend to write text on social media using ...
  • A Multi-criteria Review-Based Hotel Recommendation System 
    Sharma, Yashvardhan (IEEE, 2015)
    Traditional Recommender Systems recommend items on the basis of a single criterion whereas Multi Criteria methods take many different criteria for each item. Although Multi Criteria Recommender Systems have a promising ...
  • Political Opinion Mining from Twitter 
    Sharma, Yashvardhan (IJISSS, 2016)
    Twitter is one of the most popular micro-blogging platform for people to express their political views in and around the elections. Hence during pre-elections twitter becomes a rich resource of data to understand the ...
  • Temperature Prediction Based on Fuzzy Time Series and MTPSO with Automatic Clustering Algorithm 
    Sharma, Yashvardhan (IEEE, 2014)
    Weather prediction is an essential activity in today's world economy with its detrimental effects on various fields like Agriculture, Utility companies, Marine etc. Many methods have been presented based on fuzzy time ...
  • TwiBiNG: A Bipartite News Generator Using Twitter 
    Sharma, Yashvardhan (CEUR, 2014)
    Online Journalism is being seen as future of Journalism. News Professionals are vying to capture newsworthy stories that emerge from crowd. Live Social Media especially Twitter is generating enormous volumes of data ...
  • A Context-Based Performance Enhancement Algorithm for Columnar Storage in MapReduce with Hive 
    Sharma, Yashvardhan (IGI Global, 2013)
    To achieve high reliability and scalability, most large-scale data warehouse systems have adopted the cluster-based architecture. In this context, MapReduce has emerged as a promising architecture for large scale data ...

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