Ruchi Sharma

@cuchd.in

Assistant Professor/ Department of Mathematics
chandigarh university



           

https://researchid.co/ruchi2007
5

Scopus Publications

Scopus Publications

  • Potential Approach for Text-Based Emotion Detection Using NLP Coupled With Deep Learning of Sentiment Analysis
    Gurpreet Singh, Deependra Singh, Ruchi Sharma, and Kapil Bhardwaj
    IEEE
    Sentiment analysis is a valuable method for gauging people’s sentiments and emotions towards various subjects. Within this realm, emotion detection stands out by predicting specific emotions rather than categorizing them broadly as positive, negative, or neutral. While previous research has predominantly focused on emotion recognition through speech and facial expressions, text-based emotion detection poses distinct challenges due to the absence of cues like tonal stress and facial expressions. Addressing these challenges, natural language processing (NLP) techniques have been employed in the past, including the keyword approach, lexicon-based approach, and machine learning approach. However, keyword- and lexicon-based strategies have limitations, particularly in handling semantic relations. In this study, a propose novel hybrid model that combines machine learning and deep learning, specifically utilizing a sequential neural network architecture. The model includes embedding layers, flattening, and dense layers. The effectiveness of our approach is demonstrated through training on a diverse dataset encompassing sentences, tweets, and dialogs. Remarkably, our model achieves a high accuracy of the validation data, underscoring its efficacy in text-based emotion detection without relying on existing content.


  • An Economic Inventory Model Comparing Stock Dependent and Fixed Demand for Random Machine Breakdown, Repair Time and Deterioration
    Ruchi Sharma, Gurcharan Singh, Ashutosh Pandey, and Shiv Kumar Sharma
    Kyushu University

  • An Inventory Model for Imperfect Production and Time Sensitive Selling Price
    Ruchi Sharma and G. S. Buttar
    Springer Nature Singapore

  • Optimizing inventory policy for time-dependent demand with imperfect items
    R. Sharma and G. Singh
    Union of Researchers of Macedonia
    Through this paper, an inventory model is proposed for a manufacturing process which produces perfect and after some time imperfect items. It’s been assumed that demand is time-dependent and production is greater than demand. The rate of production of items is directly affected by demand. A further assumption is made that the system starts producing imperfect items after some time of operation due to various factors. For imperfect items, collection and repair work has been considered which optimizes the inventory. Repair of the imperfect items starts when regular production stops. Using the concepts of differential calculus, the optimum inventory is obtained to capitalize on the profit and reduce the cost. An example is discussed to demonstrate the theory.

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