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Facial expression recognition and emotion classification system for sentiment analysis
J Jayalekshmi, T Mathew - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
A huge amount of data is available to the web users with evolution of web technology. The
available resources in web are used by the users and also they involve in giving feedbacks …
available resources in web are used by the users and also they involve in giving feedbacks …
Improving entity linking in Chinese domain by sense embedding based on graph clustering
Entity linking refers to linking a string in a text to corresponding entities in a knowledge base
through candidate entity generation and candidate entity ranking. It is of great significance to …
through candidate entity generation and candidate entity ranking. It is of great significance to …
Age, gender prediction and emotion recognition using convolutional neural network
Automated age and gender detection has been generally used in our daily lives that we
come across, majorly in a person to computer interaction, visual surveillance, biometric …
come across, majorly in a person to computer interaction, visual surveillance, biometric …
A truncated deep neural network for identifying age groups in real time images
Recent research works have been focussing on estimating age from facial images. Age
estimation from faces basically involves two sub-processes: extracting features and …
estimation from faces basically involves two sub-processes: extracting features and …
Automatic topic extraction from research articles using N-gram analysis
M Chen, M Huang - 2016 - gupea.ub.gu.se
Identifying the topic of an article can involve a lot of manual work. The manual processes
can be exhaustive when it comes to a large volume of articles. In order to tackle this …
can be exhaustive when it comes to a large volume of articles. In order to tackle this …