Khaled Badran's research while affiliated with Military Technical College and other places

Publications (18)

Preprint
The spread of hate speech has become particularly apparent on social media platforms as their usage for communication and unrestricted thought has increased on a worldwide scale. However, this could cause disagreement and antagonism among users, creating an unattractive online environment. Countries , companies, and academic institutions have all i...
Preprint
In recent years, as social media has grown in popularity, people have gained the ability to freely share their views. However, this may lead to users' conflict and hostility, resulting in unattractive online environments. Hate speech relates to using expressions or phrases that are violent, offensive, or insulting to a minority of people. The numbe...
Article
Full-text available
Recent studies show that social media has become an integral part of everyone's daily routine. People often use it to convey their ideas, opinions, and critiques. Consequently, the increasing use of social media has motivated malicious users to misuse online social media anonymity. Thus, these users can exploit this advantage and engage in socially...
Preprint
Recent studies show that social media has become an integral part of everyone's daily routine. People often use it to convey their ideas, opinions, and critiques. Consequently, the increasing use of social media has motivated malicious users to misuse online social media anonymity. Thus, these users can exploit this advantage and engage in socially...
Preprint
Full-text available
The tremendous increase of Internet users and various social media platforms provide a massive amount of data. Companies are seeking an automated method to assess their customers' satisfaction with their products. Collecting and analyzing opinions and customers' feedback from social media rely on what so called sentiment classification. Several typ...
Article
Full-text available
In the last few years, Sentiment Analysis regarding customers' reviews in order to comprehend the opinion polarity on social media has received considerable attention. However, the improvement of deep learning for sentiment analysis relating to customer reviews in Arabic language has received less attention. In fact, many users post and jot down th...
Article
Full-text available
The task of extracting the used feature vector in mining tasks (classification, clustering …etc.) is considered the most important task for enhancing the text processing capabilities. This paper proposes a novel approach to be used in building the feature vector used in web text document classification process; adding semantics in the generated fea...
Conference Paper
Full-text available
Dimensionality reduction of feature vector size plays a vital role in enhancing the text processing capabilities; it aims in reducing the size of the feature vector used in the mining tasks (classification, clustering... etc.). This paper proposes an efficient approach to be used in reducing the size of the feature vector for web text document clas...
Article
The data on the web is generally stored in structured, semi-structured and un- structured formats; from the survey the most of the information of an organization is stored in unstructured textual form .so, the task of categorizing this huge number of unstructured web text documents has become one of the most important tasks when dealing with web. C...
Article
Full-text available
The data on the web is generally stored in structured, semi-structured and un- structured formats; from the survey the most of the information of an organization is stored in unstructured textual form .so, the task of categorizing this huge number of unstructured web text documents has become one of the most important tasks when dealing with web. C...
Article
Full-text available
Money laundering is a global problem that affects all countries to various degrees. Although, many countries take benefits from money laundering, by accepting the money from laundering but keeping the crime abroad, at the long run, “money laundering attracts crime”. Criminals come to know a country, create networks and eventually also locate their...
Article
This paper presents a plan based framework for anti money laundering systems PBAMLS. Such framework is novel and consists of two phases, in addition to several supporting modules. The first phase is a monitoring phase utilizes an automata approach, as a formalism, to detect probable money laundering. The detection process is based on a money launde...

Citations

... A vast quantity of user-generated text is published by social media users on a daily basis [2]. Certain users may abuse the ability to hide a person's identity, raising the risk of increasing hate speech and abusive language on social media [3]. Many countries and governments around the world have passed legislation to limit hate speech on social media sites [2]. ...
... The LSTM model was used to discover the correlation between extracted features that help express the meaning of aggregated posts. The main goal of combining these models was to extract local features with the help of the convolution layer and use the ordering of those features to learn about the word sequences with the help of the LSTM model (Elzayady, Badran & Salama, 2020). However, CNN-LSTM has drawbacks in terms of parameter selection and data dependency. ...
... We used term frequency-inverse document (TF-IDF) and word embeddings as our major feature extraction techniques since they are straightforward and problemindependent. First, TF-IDF calculates the relevance of a word to a document in a set of documents [2,18]. As a result, this technique of operation distinguishes between common and significant words. ...
... Elhadad et al. [55] use the WordNet [56] lexical taxonomy (as an ontology) to classify Web text documents based on their semantic similarities. In the first phase, a number of filters are applied to each document to extract an initial vector of terms, called Bag of Words (BoW), which represent the document space. ...
... Scholars such as Helmy T H think that money laundering is a global problem that affects all countries to varying degrees. Although many countries accept money laundering, in the long run, foreign crime "money laundering will attract crime" [2]. Criminals will first inspect a country, establish a network and finally locate their criminal activities there. ...