2020 IEEE 4th Conference on Information & Communication Technology (CICT)
In modern era there has been a phenomenal increase of suicidal syndromes with teens and student p... more In modern era there has been a phenomenal increase of suicidal syndromes with teens and student population being susceptible the most. Since most of the teens and youth are active in social media, the framework serves more to predict the suicidal tendency of the user. The proposed App captures the face of the user to identify his emotional state and immediately play or encourage him to go through audio or video content that serves as an immediate counselling session with no human intervention. Facial emotion recognition (FER) is an important topic in the fields of computer vision and artificial intelligence owing to its significant academic and commercial potential. This review focuses on studies that exclusively use facial images, because visual expressions are one of the main information channels in interpersonal communication. this paper provides a brief review of researches in the field of FER conducted over the past decades. Deep-learning-based FER approaches using deep networks enabling “end-to-end” learning are then presented. This review primarly focuses on two datasets namely, KDEF(Karolinska Directed Emotional Faces) dataset and Kaggle FER2013 dataset. The proposed App captures the face of the user to identify his emotional state and immediately play or encourage him to go through audio or video content that serves as an immediate counselling session with no human intervention. This paper takes suggests instant counter measures such as recommending some anti-suicidal videos and some online expert support. Since people having suicidal tendency will post/ likes the photos/ images related to the suicide thoughts detection of suicide related objects like suicide rope will help in predicting suicidal behaviour more accurately. Since a large section of community(about 28%) are attempting suicides by means of suicidal rope, a model is trained on the most frequently used suicide rope images.
Digital Mass Media has become the new paradigm of communication that revolves around online socia... more Digital Mass Media has become the new paradigm of communication that revolves around online social networks. The increase in the utilization of online social networks (OSNs) as the primary source of information and the increase of online social platforms providing such news has increased the scope of spreading fake news. People spread fake news in multimedia formats like images, audio, and video. Visual-based news is prone to have a psychological impact on the users and is often misleading. Therefore, Multimodal frameworks for detecting fake posts have gained demand in recent times. This paper proposes a framework that flags fake posts with Visual data embedded with text. The proposed framework works on data derived from the Fakeddit dataset, with over 1 million samples containing text, image, metadata, and comments data gathered from a wide range of sources, and tries to exploit the unique features of fake and legitimate images. The proposed framework has different architectures to learn visual and linguistic models from the post individually. Image polarity datasets, derived from Flickr, are also considered for analysis, and the features extracted from these visual and text-based data helped in flagging news. The proposed fusion model has achieved an overall accuracy of 91.94%, Precision of 93.43%, Recall of 93.07%, and F1-score of 93%. The experimental results show that the proposed Multimodality model with Image and Text achieves better results than other state-of-art models working on a similar dataset.
Crime analysis is a law enforcement function that involves systematic analysis for identifying an... more Crime analysis is a law enforcement function that involves systematic analysis for identifying and analyzing patterns and trends in crime and disorder. Crime analysis also plays a role in devising solutions to crime problems, and formulating crime prevention strategies. A lot of previous work has been done on analytic of crime demographics and geographic prior to this project. The unfortunate, frequent nature of crime, and the fact that it often follows a geographic and demographic pattern which requires constant updation makes this data set an excellent choice for online learning based models for analytics.
The main motto of data mining techniques is to generate user-centric reports basing on the busine... more The main motto of data mining techniques is to generate user-centric reports basing on the business requirements. The advent increase in thirst for knowledge discovery has increased the need of robust algorithms in the process of knowledge discovery. Mining in general is termed as intrinsic methodology of discovering interesting, formerly unknown data patterns. Clustering can be termed as a setgrouping task where similar objects are being grouped together. Clustering, a primitive anthropological method is the vital method in exploratory data mining for statistical data analysis, machine learning, and image analysis and in many other predominant branches of supervised and unsupervised learning. Cluster algorithms can be categorized based on the cluster models available depending on type of data we try to analyse. This paper focuses on different centroid based algorithms on par numerical and categorical data. Keywords— Categorical data, k-means, k-medoids, CLARA, CLARANS, Euclidian, M...
The motto of researchers is to pose technical endeavours in a propounded manner. There raises a s... more The motto of researchers is to pose technical endeavours in a propounded manner. There raises a strong impact of the pre-existing slogs made by other researches. Certain web crawlers have been formulated to extract quondam aspects that exist over net. Demand rises for designing certain classifiers which interacts with multiple hosts. A robust, flexible and manageable crawler system is to be coined which crawls data on par of user interest. This paper poses a methodology which could crawl through data repositories required as per the researcher interest. Certain classification algorithm like C4.5 has been proposed to classify the patterns which sound to be interesting while mining data from huge data repositories available on net. Keywords— classification, crawler, C4.5, Reference Comment Crawler (RCC), Quinlan ID3, decision tree, statistical classifier, predictor, gain ratio.
2020 IEEE 4th Conference on Information & Communication Technology (CICT)
In modern era there has been a phenomenal increase of suicidal syndromes with teens and student p... more In modern era there has been a phenomenal increase of suicidal syndromes with teens and student population being susceptible the most. Since most of the teens and youth are active in social media, the framework serves more to predict the suicidal tendency of the user. The proposed App captures the face of the user to identify his emotional state and immediately play or encourage him to go through audio or video content that serves as an immediate counselling session with no human intervention. Facial emotion recognition (FER) is an important topic in the fields of computer vision and artificial intelligence owing to its significant academic and commercial potential. This review focuses on studies that exclusively use facial images, because visual expressions are one of the main information channels in interpersonal communication. this paper provides a brief review of researches in the field of FER conducted over the past decades. Deep-learning-based FER approaches using deep networks enabling “end-to-end” learning are then presented. This review primarly focuses on two datasets namely, KDEF(Karolinska Directed Emotional Faces) dataset and Kaggle FER2013 dataset. The proposed App captures the face of the user to identify his emotional state and immediately play or encourage him to go through audio or video content that serves as an immediate counselling session with no human intervention. This paper takes suggests instant counter measures such as recommending some anti-suicidal videos and some online expert support. Since people having suicidal tendency will post/ likes the photos/ images related to the suicide thoughts detection of suicide related objects like suicide rope will help in predicting suicidal behaviour more accurately. Since a large section of community(about 28%) are attempting suicides by means of suicidal rope, a model is trained on the most frequently used suicide rope images.
Digital Mass Media has become the new paradigm of communication that revolves around online socia... more Digital Mass Media has become the new paradigm of communication that revolves around online social networks. The increase in the utilization of online social networks (OSNs) as the primary source of information and the increase of online social platforms providing such news has increased the scope of spreading fake news. People spread fake news in multimedia formats like images, audio, and video. Visual-based news is prone to have a psychological impact on the users and is often misleading. Therefore, Multimodal frameworks for detecting fake posts have gained demand in recent times. This paper proposes a framework that flags fake posts with Visual data embedded with text. The proposed framework works on data derived from the Fakeddit dataset, with over 1 million samples containing text, image, metadata, and comments data gathered from a wide range of sources, and tries to exploit the unique features of fake and legitimate images. The proposed framework has different architectures to learn visual and linguistic models from the post individually. Image polarity datasets, derived from Flickr, are also considered for analysis, and the features extracted from these visual and text-based data helped in flagging news. The proposed fusion model has achieved an overall accuracy of 91.94%, Precision of 93.43%, Recall of 93.07%, and F1-score of 93%. The experimental results show that the proposed Multimodality model with Image and Text achieves better results than other state-of-art models working on a similar dataset.
Crime analysis is a law enforcement function that involves systematic analysis for identifying an... more Crime analysis is a law enforcement function that involves systematic analysis for identifying and analyzing patterns and trends in crime and disorder. Crime analysis also plays a role in devising solutions to crime problems, and formulating crime prevention strategies. A lot of previous work has been done on analytic of crime demographics and geographic prior to this project. The unfortunate, frequent nature of crime, and the fact that it often follows a geographic and demographic pattern which requires constant updation makes this data set an excellent choice for online learning based models for analytics.
The main motto of data mining techniques is to generate user-centric reports basing on the busine... more The main motto of data mining techniques is to generate user-centric reports basing on the business requirements. The advent increase in thirst for knowledge discovery has increased the need of robust algorithms in the process of knowledge discovery. Mining in general is termed as intrinsic methodology of discovering interesting, formerly unknown data patterns. Clustering can be termed as a setgrouping task where similar objects are being grouped together. Clustering, a primitive anthropological method is the vital method in exploratory data mining for statistical data analysis, machine learning, and image analysis and in many other predominant branches of supervised and unsupervised learning. Cluster algorithms can be categorized based on the cluster models available depending on type of data we try to analyse. This paper focuses on different centroid based algorithms on par numerical and categorical data. Keywords— Categorical data, k-means, k-medoids, CLARA, CLARANS, Euclidian, M...
The motto of researchers is to pose technical endeavours in a propounded manner. There raises a s... more The motto of researchers is to pose technical endeavours in a propounded manner. There raises a strong impact of the pre-existing slogs made by other researches. Certain web crawlers have been formulated to extract quondam aspects that exist over net. Demand rises for designing certain classifiers which interacts with multiple hosts. A robust, flexible and manageable crawler system is to be coined which crawls data on par of user interest. This paper poses a methodology which could crawl through data repositories required as per the researcher interest. Certain classification algorithm like C4.5 has been proposed to classify the patterns which sound to be interesting while mining data from huge data repositories available on net. Keywords— classification, crawler, C4.5, Reference Comment Crawler (RCC), Quinlan ID3, decision tree, statistical classifier, predictor, gain ratio.
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Papers by santosh uppada