[PDF][PDF] Sentiment analysis on covid-19 vaccine tweets using machine learning and deep learning algorithms
Language Processing) is to analyze a sentiment or opinion of the text considered. In this
research the objective is to analyze the sentiment in the form of tweets towards the Covid-19 …
research the objective is to analyze the sentiment in the form of tweets towards the Covid-19 …
Categorization of ICMR Using feature extraction strategy and MIR with ensemble learning
The Indian classical music and the raga's studied in this research paper. This paper focuses
on categorization of these ragas into various different categories based on their features …
on categorization of these ragas into various different categories based on their features …
A bi-stage approach to North Indian raga distinction
D Basu, H Mukherjee, M Marciano, S Sen… - Multimedia Tools and …, 2024 - Springer
Music embraces an intricate assembly of auditory elements, carefully organized in diverse
configurations to articulate a variety of human emotions, moods, thoughts, feelings, temporal …
configurations to articulate a variety of human emotions, moods, thoughts, feelings, temporal …
Recognizing ragas of carnatic genre using advanced intelligence: A classification system for indian music
B Kumaraswamy, P PG - Data Technologies and Applications, 2020 - emerald.com
Purpose In general, Indian Classical Music (ICM) is classified into two: Carnatic and
Hindustani. Even though, both the music formats have a similar foundation, the way of …
Hindustani. Even though, both the music formats have a similar foundation, the way of …
Rigorous data analysis and performance evaluation of Indian classical raga using RapidMiner
In this research work, we propose to classify the Indian classical raga. The research work
focuses on preprocessing phase for the audio feature creation and then the music is …
focuses on preprocessing phase for the audio feature creation and then the music is …
[PDF][PDF] Analytical approach on Indian classical raga measures by feature extraction with EM and Naive Bayes
Music analysis is the main task in the musical information retrieval (MIR) systems. In this
paper an analytical study based on these MIR techniques has been carried out to perform …
paper an analytical study based on these MIR techniques has been carried out to perform …
[PDF][PDF] An Approach to Automatic Garbage Detection Framework Designing using CNN
This paper proposes a system for automatic detection of litter and garbage dumps in CCTV
feeds with the help of deep learning implementations. The designed system named …
feeds with the help of deep learning implementations. The designed system named …
Identification of the Dawn or Dusk Ragas
Music is a special set of sounds arranged in ways that can express different human
emotions, feelings, thoughts, situations, and times. Throughout the world, several …
emotions, feelings, thoughts, situations, and times. Throughout the world, several …
Mean centred clustering: improving melody classification using time-and frequency-domain supervised clustering
This paper reports a new approach for clustering melodies in audio music collections of both
western as well as Indian background and its application to genre classification. A simple yet …
western as well as Indian background and its application to genre classification. A simple yet …
Music genre classification with self-organizing maps and edit distance
R Popovici, R Andonie - 2015 International Joint Conference …, 2015 - ieeexplore.ieee.org
We propose a method for music genre classification based on a Self-Organizing Map (SOM)-
type network. Music pieces are viewed as sequences of pitch and timbre signals. We define …
type network. Music pieces are viewed as sequences of pitch and timbre signals. We define …