Search Results - "K.S., Kalaivani"

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  1. 1

    A Review on Feature Extraction Techniques for Sentiment Classification by Kalaivani, K.S., Uma, S., Kanimozhiselvi, C.S.

    “…Sentiment analysis is used for social media supervising. It is used to analyze comments, recommendations provided by the reviewers. Depending on this analysis,…”
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    Conference Proceeding
  2. 2

    An Analysis and Forecasting of Covid-19 Spread in Tamil Nadu based on Additive Model for Non-Linear Pattern by C.S., Kanimozhi Selvi, K.S., Kalaivani, S.K.C., Abinayaa

    “…Coronavirus2019 has been seen as an overall pandemic and spreads all over India. Tamilnadu is one of the most affected states in India. The study of the spread…”
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    Conference Proceeding
  3. 3

    Exploring the use of syntactic dependency features for document-level sentiment classification by Kalaivani, K S, Kuppuswami, S

    “…An automatic analysis of product reviews requires deep understanding of the natural language text by machine. The limitation of bag-of-words (BoW) model is…”
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    Journal Article
  4. 4
  5. 5

    Yoga Pose Recognition and Correction Using Deep Learning by Kanimozhi Selvi, C.S., Kalaivani, K.S., Srigha, S., Ramesh, Hariesh, Kalki Kartik, S.L.

    “…Yoga is an ancient practice that holds contemporary significance in promoting holistic well- being. This study focuses on yoga pose recognition via deep…”
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    Conference Proceeding
  6. 6

    A Comparison of Word Embedding Techniques for Stress Identification using Machine Learning by Kalaivani, K.S., Kanimozhi Selvi, C.S., Sandeep, N., Vasanthasri, T., VarshiniShilin, S.

    “…In stress analysis, the focus is on examining individuals' language or voice for signs of stress. This study utilizes a dataset obtained from…”
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    Conference Proceeding
  7. 7

    Enhancing the Performance of POS based Features using Generalization for Sentiment Classification by Kalaivani, K.S., Kanimozhiselvi, C.S., Rajasekar, Vani

    “…The task of evaluating the polarity of an opinionated text as positive or negative is known as sentiment classification. Companies nowadays are interested in…”
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    Conference Proceeding
  8. 8

    A Comparative Study of Regression algorithms on House Sales Price Prediction by Kalaivani, K.S., Kanimozhiselvi, C.S., Bilal, Z.H. Mohamed, Sukesh, G., Yokeswaran, S.

    “…Accurate prediction of house sales prices plays a pivotal role in various real estate and financial applications. As the real estate market continues to grow…”
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    Conference Proceeding
  9. 9

    Improving the Restaurant Recommendation Performance using Sentiment Analysis by Kalaivani, K.S., Kanimozhiselvi, C.S., Narmatha, B.R., Bilal, Z.H.Mohamed

    “…Recommendation systems are effective information filtering systems that filter relevant information from a large amount of dynamically generated data and then…”
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    Conference Proceeding