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Found 27 papers, 5 papers with code
Persian topic detection based on Human Word association and graph embedding
In this paper, a topic detection framework using HWA, a method for Human Word Association, is proposed.
A Human Word Association based model for topic detection in social networks
Also, most of the previous works in the field of topic detection are limited to the English language, and the Persian language, especially microblogs written in this language, is considered a low-resource language.
Unsupervised Broadcast News Summarization; a comparative study on Maximal Marginal Relevance (MMR) and Latent Semantic Analysis (LSA)
Latent Semantic Analysis (LSA) and Maximal Marginal Relevance (MMR) are considered the most important and well-known unsupervised methods in automatic speech summarization.
A Comprehensive Review of Visual-Textual Sentiment Analysis from Social Media Networks
Social media networks have become a significant aspect of people's lives, serving as a platform for their ideas, opinions and emotions.
Text-Based Automatic Personality Prediction Using KGrAt-Net; A Knowledge Graph Attention Network Classifier
For the first time, it applies the knowledge graph attention network to perform Automatic Personality Prediction (APP), according to the Big Five personality traits.
Word Embeddings and Validity Indexes in Fuzzy Clustering
In the new era of internet systems and applications, a concept of detecting distinguished topics from huge amounts of text has gained a lot of attention.
Knowledge Graph-Enabled Text-Based Automatic Personality Prediction
This paper presents a novel knowledge graph-enabled approach to text-based APP that relies on the Big Five personality traits.
Graph-Based Recommendation System Enhanced with Community Detection
On the other hand, due to the change of users' interests over time this article has considered the time of tag assignments in co-occurrence tags for determining similarity of tags.
Text-based automatic personality prediction: A bibliographic review
Personality detection is an old topic in psychology and Automatic Personality Prediction (or Perception) (APP) is the automated (computationally) forecasting of the personality on different types of human generated/exchanged contents (such as text, speech, image, video).
Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding
In Phraseformer, each keyword candidate is presented by a vector which is the concatenation of the text and structure learning representations.
Ranked #1 on
Keyword Extraction
on SemEval-2017 Task-10
COVID-19 detection using deep convolutional neural networks and binary-differential-algorithm-based feature selection on X-ray images
Feature vectors were extracted by applying a deep convolution neural network on the images, and useful features were selected by the binary differential meta-heuristic algorithm.
FRAKE: Fusional Real-time Automatic Keyword Extraction
For evaluating the proposed method, seven datasets were used: Semeval2010, SemEval2017, Inspec, fao30, Thesis100, pak2018, and Wikinews, with results reported as Precision, Recall, and F- measure.
Ranked #5 on
Keyword Extraction
on Inspec
Cy: Chaotic yolo for user intended image encryption and sharing in social media
Social media is an inseparable part of our daily life where we post and share photos and media related to our life and in some cases we intend to share them between specific people.
A Deep Content-Based Model for Persian Rumor Verification
Therefore, it is important to detect and verify the rumors in the early stage of their spreading.
Ranked #1 on
Rumour Detection
on Sepehr_RumTel01
A semi-supervised model for Persian rumor verification based on content information
It indicates that speech act and WS alongside semantic contextual vectors are helpful features in the rumor verification task.
Ranked #2 on
Rumour Detection
on Sepehr_RumTel01
TopicBERT: A Transformer transfer learning based memory-graph approach for multimodal streaming social media topic detection
These properties of social networks which are known as 5'Vs of big data has led to many unique and enlightenment algorithms and techniques applied to large social networking datasets and data streams.
Automatic Personality Prediction; an Enhanced Method Using Ensemble Modeling
Generally, Automatic Personality Prediction (or Perception) (APP) is the automated forecasting of the personality on different types of human generated/exchanged contents (like text, speech, image, video, etc.).
Ranked #1 on
Personality Trait Recognition
on Essays
A speech act classifier for persian texts and its application in identify speech act of rumors
Also, the evaluation results indicate that SA as a distinctive feature between rumors and non-rumors improves the accuracy of rumor identification from 0. 762 (based on common context features) to 0. 791 (the combination of common context features and four SA classes).
A Model to Measure the Spread Power of Rumors
To address this research gap, the present study seeks a model to calculate the Spread Power of Rumor (SPR) as the function of content-based features in two categories: False Rumor (FR) and True Rumor (TR).
Ranked #3 on
Rumour Detection
on Sepehr_RumTel01
Hybrid multi-objective evolutionary algorithm based on Search Manager framework for big data optimization problems
Big Data optimization (Big-Opt) refers to optimization problems which require to manage the properties of big data analytics.
Multi-Modal Forest Optimization Algorithm
Most real-world problems have more than one solution; therefore, the potential role of multi-modal optimization algorithms is rather significant.
A Speech Act Classifier for Persian Texts and its Application in Identifying Rumors
The experimental results demonstrate that the proposed method using RF and SVM as the best classifiers achieved a state-of-the-art performance with an accuracy of 0. 95 for classification of Persian SAs.
Ranked #4 on
Rumour Detection
on Sepehr_RumTel01
An Enhanced Multi-Objective Biogeography-Based Optimization for Overlapping Community Detection in Social Networks with Node Attributes
In order to solve this problem, an evolutionary algorithm called MOBBO-OCD, which is based on multi-objective biogeography-based optimization (BBO), is proposed in this paper to automatically find overlapping communities in a social network with node attributes with synchronously considering the density of connections and the similarity of nodes' attributes in the network.
Image Clustering with Optimization Algorithms and Color Space
In this study, a new color image clustering algorithm with multilevel thresholding has been presented and, it has been shown how to use the multilevel thresholding techniques for color image clustering.
Forest Optimization Algorithm
In this article, a new evolutionary algorithm, Forest Optimization Algorithm (FOA), suitable for continuous nonlinear optimization problems has been proposed.
An improved multimodal PSO method based on electrostatic interaction using n- nearest-neighbor local search
In this paper, an improved multimodal optimization (MMO) algorithm, called LSEPSO, has been proposed.
Double four-bar crank-slider mechanism dynamic balancing by meta-heuristic algorithms
In this paper, a new method for dynamic balancing of double four-bar crank slider mechanism by meta- heuristic-based optimization algorithms is proposed.
