Business, Commerce, Economics & Computer Sciences: Recent submissions

  • Valuation of Coastal and Marine Ecosystem Services in India: Macro Assessment 
    KaviKumar, K.S.; Anneboina, L.R.; Bhatta, R.; Naren, P.; MeghaNath; Sharan, A.; Mukhopadhyay, P.; Ghosh, S.; daCosta, V.; Pednekar, S. (Madras School of Economics, Chennai, 2016; 93pp.)
    Coastal and marine ecosystems provide a host of services that are of vital importance to human well-being that include provisioning services (e.g. food, water, raw materials), regulating services (e.g. coastal protection, ...
  • Food Preferences of Children in Goa 
    Radhamani, D.; AnjanaRaju, G. (Global Journal for Research Analysis. 5(7); 2016; 283-284.)
    The food and drinks preferred by children in the state of Goa are examined. A two stage factor analysis was computed on 28 variables to arrive at the result. It was found that children liked to consume branded eatables, ...
  • A binomial heap extractor for automatic keyword extraction 
    Paul, D.V.; Pawar, J.D. (IEEE Int. Conf. Data Mining and Advanced Computing (SAPIENCE-16). 2016; 113-121.)
    Extraction of Keywords using Frequent Itemsets (AEKFI) is a new technique for keyword extraction which integrates adjacency of location of words within the document to automatically select the most discriminative words ...
  • Discovering thematic knowledge from code-mixed chat messages using topic model 
    Asnani, K.; Pawar, J.D. (Proc. 3. Workshop on Indian Language Data: Resources and Evaluation (WILDRE3), Portoroz, Slovenia. 24 May 2016. 2016; 104-109.)
    In current times, the trend of mixing two or more languages together (code-mixing) in communication on social media is very popular. Such code-mixed chat data is enormously generated and is usually noisy, sparse and exhibits ...
  • Extractive based email summarization: An unsupervised hybrid approach using graph based sentence ranking and K-means clustering algorithm 
    Shivolkar, M.; Pawar, J.D.; Baskar, S. (Proc. 3. Workshop on Indian Language Data: Resources and Evaluation (WILDRE3), Portoroz, Slovenia. 24 May 2016. 2016; 49-54.)
    Over the years, Automatic Text Summarization is widely studied by many researchers. Here, an attempt is made to generate an automatic summary of a given text document based on an unsupervised hybrid model. The model comprises ...
  • Konkani SentiWordNet: Resource for sentiment analysis using supervised learning approach 
    Fondekar, A.; Pawar, J.D.; Karmali, R. (Proc. 3. Workshop on Indian Language Data: Resources and Evaluation (WILDRE3), Portoroz, Slovenia. 24 May 2016. 2016; 55-59.)
    Sentiment Analysis (SA) is the process of analyzing and predicting the hidden attitude/opinion in the given text expressed by an individual. Till now, ample amount of work has been carried out for the English language. ...
  • Message significance in multilingual blogs using topic-based aspect clusters 
    Asnani, K.S.; Pawar, J.D. (Proc. of the ACM Symposium on Women in Research 2016 (WIR '16). 2016; 154-157.)
    Social networking forums like Twitter, Facebook and other blogs are easy to access and are highly popular. The growth in such rich social media content has led to the generation of petabytes of data on the web. The social ...
  • Let sense bags do talking: Cross lingual word semantic similarity for English and Hindi 
    Nagvenkar, A.; Pawar, J.D.; Bhattacharyya, P. (Proc. of the 12. Int. Conf. on Natural Language Processing (ICON-2015), Ed. by: Dipti Misra Sharma, Rajeev Sangal, Elizabeth Sherly. IIITM-Kerala, Trivandrum. 2016; 5pp.)
    Cross Lingual Word Semantic (CLWS) similarity is defined as a task to find the semantic similarity between two words across languages. Semantic similarity has been very popular in computing the similarity between two words ...
  • Global economic challenges: Alone we lag, together we grow 
    Mukhopadhyay, P. (Economic Challenges for the Contemporary World: Essays in Honour of Prabhat Patnaik Ed. by: Mausumi Das; Sabyasachi Kar; Nandan Nawn. Sage Publishing (India). 2016; 33-51.)
  • Image of nurse and nursing: Influencing career choice and development among nursing students in a selected institutes of Goa 
    Vaz e De Braganca, A.; Nirmala, R. (Indian Journal of Advanced Nursing. 1(3); 2015; 1-9.)
    Nursing as a profession and nurses in general, have suffered for long from public stereotyping and being closely linked with femininity and powerlessness. Though the influence of this image is unknown, the growing shortage ...

Search IR


Advanced Search

Browse

My Account