Search Results - "Wadawadagi, Ramesh"

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  1. 1

    Polarity enriched attention network for aspect-based sentiment analysis by Wadawadagi, Ramesh, Pagi, Veerappa

    “…Sentiment Analysis deals with emotion recognition in natural language text. Perhaps, user sentiments are often driven by various aspects of their interests…”
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    Journal Article
  2. 2

    A multi-layer approach to opinion polarity classification using augmented semantic tree kernels by Wadawadagi, Ramesh S., Pagi, Veerappa B.

    “…Tremendous increase in user-generated content (UGC) published over the web in the form of natural language has posed a formidable challenge to automated…”
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    Journal Article
  3. 3

    Sentiment analysis with deep neural networks: comparative study and performance assessment by Wadawadagi, Ramesh, Pagi, Veerappa

    Published in The Artificial intelligence review (01-12-2020)
    “…The current decade has witnessed the remarkable developments in the field of artificial intelligence, and the revolution of deep learning has transformed the…”
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    Journal Article
  4. 4
  5. 5

    Empirical study of features and classifiers for fault diagnosis in motorcycles based on acoustic signals by Pagi, Veerappa B., Wadawadagi, Ramesh S., Anami, Basavaraj S.

    “…Motorcycles produce sound patterns with varying temporal and spectral properties under different working conditions. These sound signals carry important source…”
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    Conference Proceeding
  6. 6

    An acoustic approach for multiple fault diagnosis in motorcycles by Pagi, Veerappa B., Wadawadagi, Ramesh S., Anami, Basavaraj S.

    “…Motorcycles produce sound signals with varying temporal and spectral properties under different working conditions. These sounds can be the source of…”
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    Conference Proceeding
  7. 7

    Fault localization in motorcycles using wavelet packet energy distribution by Pagi, Veerappa B., Wadawadagi, Ramesh S., Anami, Basavaraj S.

    “…Motorcycles produce sound signals with varying temporal and spectral properties under different working conditions. These sound patterns can be used as an…”
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    Conference Proceeding