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A Fuzzy Probabilistic Neural Network for StudentâÂÂs Academic Performance Prediction
TLDR
A Fuzzy Probabilistic Neural Network model has been proposed which enables the design of an easy-to-use, personalized student performance prediction component and outperforms traditional back-propagation neural networks as well as statistical models.
Punjabi Poetry Classification: The Test of 10 Machine Learning Algorithms
TLDR
Results for Punjabi poetry classification revealed that 4 machine learning algorithms namely, Hyperpipes (HP), K- nearest neighbour (KNN), Naive Bayes (NB) and Support Vector Machine (SVM) with an accuracy of 50.63 %, 52.75 % and 58.79 % respectively, outperformed all other machinelearning algorithms under the test.
A Rule-Based Approach to Identify Stop Words for Gujarati Language
TLDR
For the first time in scientific community worldwide, a dynamic approach independent of all factors namely usage of file or dictionary, word-length,word-frequency, and training dataset is presented focusing on automatic and dynamic identification of a complete list of Gujarati stop words.
A Study of Text Classification Natural Language Processing Algorithms for Indian Languages
TLDR
This study shows that supervised learning algorithms (Naive Bayes (NB), Support Vector Machine (SVM), Artificial Neural Network (ANN), and N-gram) performed better for Text Classification task.
Hindi Poetry Classification using Eager Supervised Machine Learning Algorithms
TLDR
Two eager machine learning algorithms are applied on the corpus containing 450 Hindi poems and poetry/poem gets classified based on terms present in it using a misclassification error.
Stop-Word Removal Algorithm and its Implementation for Sanskrit Language
TLDR
A simple approach is used to design stop-word removal algorithm and its implementation for Sanskrit language and the algorithm and the implementation uses dictionary based approach.
Emotion Detection and Sentiment Analysis in Text Corpus: A Differential Study with Informal and Formal Writing Styles
TLDR
A differential analysis of Formal and Informal text pieces in the field of Sentiment Classification and differences of approaches used for Emotion Detection and Sentiment Analysis for both cases are presented.
Sanskrit lemmatizer for improvisation of morphological analyzer
Abstract The process of stripping off affixes from a word to arrive at root word or lemma is known as Lemmatization. The usefulness of lemmatizer in natural language operations cannot be overlooked
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