Norisma Idris

University of Malaya | UM · Faculty of Computer Science & Information Technology

Automatic Text Summarization (ATS) models yield outcomes with insufficient coverage of crucial details and poor degrees of novelty. The first issue resulted from the lengthy input, while the second problem resulted from the characteristics of the training dataset itself. This research employs the divide-and-conquer approach to address the first iss...

Feature selection (FS) represents an important task in classification. Hadith represents an example in which we can apply FS on it. Hadiths are the second major source of Islam after the Quran. Thousands of Hadiths are available in Islam, and these Hadiths are grouped into a number of classes. In the literature, there are many studies conducted for...

A sentiment analysis of Arabic texts is an important task in many commercial applications such as Twitter. This study introduces a multi-criteria method to empirically assess and rank clas-sifiers for Arabic sentiment analysis. Prominent machine learning algorithms were deployed to build classification models for Arabic sentiment analysis classifie...

There is an increase in the implementation of adaptive feedback models, which focus on the relationship between adaptive feedback and learning gains. These literatures suggest that the complex relationship between feedback, task complexity, pedagogical principles and student's characteristics affect the significance of feedback effects. However, cu...

Automatic Text Summarization (ATS) is an important area in Natural Language Processing (NLP) with the goal of shortening a long text into a more compact version by conveying the most important points in a readable form. ATS applications continue to evolve and utilize effective approaches that are being evaluated and implemented by researchers. Stat...

Aspect-based sentiment analysis (ABSA) is discovered to be one of the most vigorous research areas in the last decade. This study has been conducted to investigate the existing techniques used for explicit aspect extraction with aim of improving both researchers and novice knowledge of the aspect extraction domain. We have focus on the approaches a...

Opinion summarization is a process to produce concise summaries from a large number of opinionated texts. In this paper, we present a novel deep-learning-based method for the generic opinion-oriented extractive summarization of multi-documents (also known as RDLS). The method comprises sentiment analysis embedding space (SAS), text summarization em...

Aspect-based sentiment analysis (ABSA) is currently among the most vigorous areas in natural language processing (NLP). Individuals, private and government institutions are increasingly using media sources for decision making. In the last decade, aspect extraction has been the most essential phase of sentiment analysis (SA) to conduct an abridged s...

Recently, many optimization algorithms have been applied for Feature selection (FS) problems and show a clear outperformance in comparison with traditional FS methods. Therefore, this has motivated our study to apply the new Salp swarm algorithm (SSA) on the FS problem. However, SSA, like other optimizations algorithms, suffer from the problem of p...

Aspect extraction represents a core task of aspect-based sentiment analysis. This study presents a supervised aspect extraction algorithm for explicit aspect extraction from formal and informal texts. To accomplish the new algorithm, 126 aspect extraction rules are combined to cover both formal and informal texts, because customer reviews are a mix...

Sentiment analysis (SA) is a study where people’s opinions and emotions are automatically extracted in the form of sentiments from the natural language text. In social media monitoring, it is very useful because it allows user to gain an overall picture of the extensive public opinion behind many topics. Most works on SA are for the English text. O...

Many fields such as data science, data mining suffered from the rapid growth of data volume and high data dimensionality. The main problems which are faced by these fields include the high computational cost, memory cost, and low accuracy performance. These problems will occur because these fields are mainly used machine learning classifiers. Howev...

Question answering system aims at retrieving precise information from a large collection of documents. This work presents a question answering method to apply on Hadith in order to provide an informative answer corresponding to the user's query. Hadith englobes stories and qualification of the prophet Muhammad (PBSL). It also includes the sayings o...

Lay Description What is already known about this topic: Currently, there has been a lot of interest in CAL English language and numerous summary writing tools have been developed for language learning and teaching. Existing summary writing tools did not focus on learning theories incorporation. Worked examples approach is effective in well‐defined...

To help individuals or companies make a systematic and more accurate decisions, sentiment analysis (SA) is used to evaluate the polarity of reviews. In SA, feature selection phase is an important phase for machine learning classifiers specifically when the datasets used in training is huge. Whale Optimization Algorithm (WOA) is one of the recent me...

The purpose of this study was to design and develop a theory-based summary writing online tool, named Summary Writing-Pal (SW-PAL), to assist English as a second language students in improving their summary writing. It also evaluates the effectiveness of SW-PAL in enhancing the students’ summary writing performance and examines their perceptions ab...

Text summarization is a process of extracting salient information from a source text and presenting that information to the user in a condensed form while preserving its main content. In the text summarization, most of the difficult problems are providing wide topic coverage and diversity in a summary. Research based on clustering, optimization, an...

In an adaptive learning environment, the feedback provided during problem-solving requires a means, target, goal, and strategy. One of the challenges of representing feedback to meet these criteria, is the representation of the effect of multiple concepts on a single concept. Currently , most of the methods (linguistic knowledge base, expert knowle...

In an adaptive learning environment, the feedback provided during problem-solving requires a means, target, goal, and strategy. One of the challenges of representing feedback to meet these criteria, is the representation of the effect of multiple concepts on a single concept. Currently, most of the methods (linguistic knowledge base, expert knowled...

Sentiment analysis is a text classification branch, which is defined as the process of extracting sentiment terms (i.e. feature/aspect, or opinion) and determining their opinion semantic orientation. At aspect level, aspect extraction is the core task for sentiment analysis which can either be implicit or explicit aspects. The growth of sentiment a...

This study aims to present a bibliometric analysis of the journal titled “Information Processing & Management (IP & M)” for the period from 1980 to 2015. The present study was conducted with an aim to provide a summary of research activity in current journal and characterize its most important aspects. The analysis covers mainly the year-wise distr...

The performance of most metaheuristic algorithms depends on parameters whose settings essentially serve as a key function in determining the quality of the solution and the efficiency of the search. A trend that has emerged recently is to make the algorithm parameters automatically adapt to different problems during optimization, thereby liberating...

The tremendous development in information technology led to an explosion of data and motivated the need for powerful yet efficient strategies for knowledge discovery. Question answering (QA) systems made it possible to ask questions and retrieve answers using natural language queries. In ontology-based QA system, the knowledge-based data, where the...

Adaptive learning environments provide personalization of the instructional process based on different parameters such as: sequence and difficulty of task, type and time of feedback, learning pace and others. One of the key feature in learning support is the personalization of feedback. Adaptive feedback support within a learning environment is use...

Adaptive support within a learning environment is useful because most learners have different personal characteristics such as prior knowledge, learning progress, and learning preferences. This study reviews various implementation of adaptive feedback, based on the four adaptation characteristics: means, target, goal, and strategy. This review focu...

Plagiarism is the unauthorized use of the ideas, presentation of someone else’s words or work as your own. This paper presents an External Plagiarism Detection System (EPDS), which employs a combination of the Semantic Role Labeling (SRL) technique, the semantic and syntactic information. Most of the available methods fail to capture the meaning in...

In this paper, a query-based summarization method, which uses a combination of semantic relations between words and their syntactic composition, to extract meaningful sentences from document sets is introduced. The problem with current statistical methods is that they fail to capture the meaning when comparing a sentence and a user query; hence the...

Aim/Purpose: This work aims to present a knowledge modeling technique that supports the representation of the student learning process and that is capable of providing a means for self-assessment and evaluating newly acquired knowledge. The objective is to propose a means to address the pedagogical challenges in m-learning by aiding students’ metac...

Malay Twitter message presents a special deviation from the original language. Malay Tweet widely used currently by Twitter users, especially at Malaya archipelago. Thus, it is important to make a normalization system which can translated Malay Tweet language into the standard Malay language. Some researchers have conducted in natural language proc...

Text summarization is a process for creating a concise version of document(s) preserving its main content. In this paper, to cover all topics and reduce redundancy in summaries, a two-stage sentences selection method for text summarization is proposed. At the first stage, to discover all topics the sentences set is clustered by using k-means method...

Skeletal age assessment is applied as an indicator of skeletal development for finding out growth pathologies related to hormonal diseases, and in endocrine and nutritional diagnosis. Other more recent applied methods include the Tanner and Whitehouse method as well as the Greulich and Pyle method. However, both methods need an expert to manually c...

For the achievement of GOLD with entry titled: ”SUMMARULE: Relevance Detection & Summarizing Strategies Identification Tool”

Feel-Phy is a computerized and unmanned question answering system which is able to solve open-ended Physics problems, providing adaptive guidance and retrieve relevant resources to user inputs. Latent Semantic Indexing (LSI) is employed to process the user inputs and retrieve relevant references. The proposed architecture for Feel-Phy constitutes o...

The nature of the Quran and its translations as classic Arabic and English texts reduces the accuracy of ordinary natural language processing tools such as pronominal anaphora resolution systems. Pronominal anaphora resolution simply involves finding an antecedent for anaphoric pronouns as the referring expressions of discourse. The performance of...

Hadiths are important textual sources of law, tradition, and teaching in the Islamic world. Analyzing the unique linguistic features of Hadiths (e.g. ancient Arabic language and story-like text) results to compile and utilize specific natural language processing methods. In the literature, no study is solely focused on Hadith from artificial intell...

Background: Summarization is a process to select important information from a source text. Summarizing strategies are the core cognitive processes in summarization activity. Since summarization can be important as a tool to improve comprehension, it has attracted interest of teachers for teaching summary writing through direct instruction. To do t...

Used to evaluate the proposed algorithm. (XML)

Feel-It is an intelligent ‘questioning and answering system’ for secondary school Physics. The system is created to help solving open-ended Physics problems, as well as providing adaptive guidance and giving relevant learning resources from the Internet according to users ’ queries. The proposed architecture for Feel-It constitutes of four basic mo...

For the achievement of GOLD with entry titled: ”Relevance Detection And Summarizing Strategies Identification Using Linguistic Measures”

The use of social network services and microblogs, such as Twitter, has created valuable text resources, which contain extremely noisy text. Twitter messages contain so much noise that it is difficult to use them in natural language processing tasks. This paper presents a new approach using the maximum entropy model for normalizing Tweets. The prop...

Plagiarism is described as the reuse of someone else's previous ideas, work or even words without sufficient attribution to the source. This paper presents a method to detect external plagiarism using the integration of semantic relations between words and their syntactic composition. The problem with the available methods is that they fail to capt...

Stemming is a process of reducing a derivational or inflectional word to its root or stem by stripping all its affixes. It is been used in applications such as information retrieval, machine translation, and text summarization, as their pre-processing step to increase efficiency. Currently, there are a few stemming algorithms which have been develo...

The statement and conducts of Prophet Muhammad (SAW), was memorized, written down and later passed by his companions from one generation to another. Later, as the authenticity of the text became threatened, Islamic scholars from Muslim nations collected thousands of these narratives and distinguished the true wisdom from fabricated ones. However, s...

It is a challenge to identify who actually holds the valid copy of the holy Quran, or whether one digital copy is tampered or not. In fact, previous literature has shown that most of people were not aware of the distribution of fake copies of Quran online. Majority of them have raised the importance of having a central Islamic body to control and d...

Citation: Asemi, Adeleh; Baba, Mohd Sapiyan; Asemi, Asefeh; Haji Abdullah, Rukaini; Idris, Norisma (2014). Fuzzy Multi Criteria Decision Making Applications: A Review Study. Proceedings of the 3rd International Conference on Computer Engineering & Mathematical Sciences (ICCEMS 2014). Available at: https://www.researchgate.net

In recent years, social networks, microblogs, and short message service have deeply penetrated peoples lives, and thus, chat-style text is a common phenomenon. This chat-style text has many unknown features for linguists, which can be discovered by analyzing a chat-style corpus. The process of constructing a corpus conforms to specific corpus crite...

User generated text in social network sites contains enormous amount and vast variety of out-of-vocabulary words, formed both deliberately and mistakenly by the end-users. It is of essential usefulness to normalize the noisy text before employing NLP tasks. This paper describes an unsupervised normalization system, which encompasses two phases: can...

User generated text in social network sites contains enormous amount and vast variety of out-of-vocabulary words, formed both deliberately and mistakenly by the end-users. It is of essential usefulness to normalize the noisy text before employing NLP tasks. This paper describes an unsupervised normalization system, which encompasses two phases: can...

Proper understanding of a physics problem requires been able to identity relevant data within the problem statement and categorizing the problem based on the underlying principle involved. According to the existing research, novices have difficulty in categorizing a physics problem based on the underlying concepts. This paper presents a study on th...

Twitter can be used to exchange a variety of data such as sensitive data, political news, commercial messages, real-time events, and lifelogging. Lifelogging is the process of recording aspects of one's everyday life in digital form. This paper presents an empirical study to investigate whether Twittter is used for lifelogging by Malaysian users an...

Most students have difficulties in solving physics problems and do not have deep understanding of the underlying concepts in the problem. To overcome this situation, we propose a computer aided learning tool known as Adaptive Learning Environment for Problem Solving (ALEPS) that is based on Polya's four problem solving stages: 1) understanding; 2)...

Most students have difficulties in solving physics problems and do not have deep understanding of the underlying concepts in the problem. To overcome this situation, we propose a computer aided learning tool known as Adaptive Learning Environment for Problem Solving (ALEPS) that is based on Polya's four problem solving stages: 1) understanding; 2)...

A main challenge facing the law-enforcement and intelligence-gathering environment is accurately and efficiently analyzing the huge volumes of data. Analyzing crime data can be difficult because of recognizing key features and transactions among the large amounts of data, of which only a small section is relevant to illegal process. An intelligent...

Bone age assessment (BAA) is often used to evaluate the growth status of children as part of the detection of hormonal problems and genetic disorders. The determination of skeletal maturity is done based on a radiological examination of the hand-wrist skeletal area.This paper introduces a novel approach for BAA that utilizes a histogram based compa...

Stemmers or word stemming algorithms reduce a derivative word to its root word by removing all the affixes. The complexity of Malay Language (ML) morphological rules and Malay lexicon make stemming Malay words difficult. There is no fixed method to determine the affix to be removed from a derivative word to produce the correct root word. Furthermor...

Summary writing is one of the important skills taught in schools. A summary is a condensed version of an existing text. Its production differs from other types of writing where it requires the use of specific strategies. Most research on summary assessments focused on the end product of summary writing instead of its process. Research has shown tha...

Expert summarizers employ a number of strategies to produce summaries. Teachers need to identify which strategies are used by students to help them improve their summary writing. However, the task is time consuming. This paper reports on our effort to develop an algorithm to identify the summarizing strategies employed by students using summary sen...

Expert summarizers employ a number of strategies to produce summaries. Teachers need to identify which strategies are used by students to help them improve their summary writing. However, the task is time consuming. This paper reports on our effort to develop an algorithm to identify the summarizing strategies employed by students using summary sen...

Summarizing skills have been introduced to English syllabus in secondary school in Malaysia to evaluate student’s comprehension for a given text where it requires students to employ several strategies to produce the summary. This paper reports on our effort to develop a computer-based summarization assessment system that detects the strategies used...

Deciding on how to evaluate each students programming skills is one of the largest challenges facing educators who teach object-oriented courses. Traditional assessment of programming education is with Grade. Quite often students get good grades in programming but still facing great challenges or have difficulties to take on real programming jobs....

In Malaysia, the research on automated essay grading system is just beginning and it presents a series of challenges. In this paper, we report on enhancements to the previous work on automated essay grading system for Malay text particularly the transformation of the results from the analysis of the grading process by human graders into an algorith...

One of the research interests in educational technology has been in the automating the text assessment of the students' answer. The main reason for such interest is due to an overwhelming of marking scripts need to be graded within a time limit. Among many forms of answering format, an essay-type answer is the most difficult format for an automated...

Stemming is an important process to improve the performance of information retrieval. It reduces the variant word forms to common forms. Due to its essence and popularity, research for stemming Malay words has been extended for retrieval of Malay documents. The existing Malay stemming algorithm is studied and new algorithm is proposed to improve th...