Posts by Category

natural-language-processing

Collection of Question Answering Dataset Published in ArXiv

1 minute read

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Question Answering (QA) Systems is an automated approach to retrieve correct responses to the questions asked by human in natural language. I have tried to collect and curate some publications form Arxiv that related to question answering dataset, and the results were listed here. Please enjoy it!

Research about Multi Document Summarization Published in ArXiv

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Multi-document summarization is an automatic process to create a concise and comprehensive document, called summary from multiple documents. I have tried to collect and curate some publications form Arxiv that related to multi document summarization, and the results were listed here. Please enjoy it!

Research about Aspect-based Sentiment Analysis Published in ArXiv

2 minute read

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Aspect-based sentiment analysis deals with capturing sentiments expressed towards each aspect of entities. I have tried to collect and curate some publications form Arxiv that related to the aspect-based sentiment analysis, and the results were listed here. Please enjoy it!

Research about Machine Translation for Low-Resource Language Published in ArXiv

2 minute read

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Machine Translation ( MT) is the task of automatically converting one natural language to another, preserving the meaning of the input text, and producing fluent text in the output language. I have tried to collect and curate some publications form Arxiv that related to the machine translation for low resource language, and the results were listed here. Please enjoy it!

Research about Extractive Summarization Published in ArXiv

2 minute read

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The main objective of extractive summarization can be concisely formulated as extracting text inputs containing information on the most important concepts described in the input text or texts. I have tried to collect and curate some publications form Arxiv that related to the extractive summarization, and the results were listed here. Please enjoy it!

Research about Abstractive Summarization Published in ArXiv

4 minute read

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Abstractive summary is a technique in which the summary is created by either rephrasing or using the new words, rather than simply extracting the relevant phrases. I have tried to collect and curate some publications form Arxiv that related to the abstractive summarization, and the results were listed here. Please enjoy it!

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deep-learning

Research about Generative Adversarial Networks Published in ArXiv

17 minute read

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Generative adversarial networks (GANs) are an exciting recent innovation in machine learning. GANs are generative models: they create new data instances that resemble your training data. I have tried to collect and curate some publications form Arxiv that related to the generative adversarial networks, and the results were listed here. Please enjoy it!

Research about Recurrent Neural Networks Published in ArXiv

8 minute read

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Recurrent neural networks (RNNs) are a class of neural networks that are naturally suited to processing time-series data and other sequential data. I have tried to collect and curate some publications form Arxiv that related to the recurrent neural networks, and the results were listed here. Please enjoy it!

Computational Biology and Bioinformatics Research using Neural Networks Published in Nature

9 minute read

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Computational biology, a biology branch involving the use of computers and computer science to understand and model the structures and processes of life. It involves the use of computational methods (e.g. algorithms) for the representation and simulation of biological systems, as well as for the interpretation of experimental data, often on a very large scale. I have tried to collect and curate some publications that related to the computational biology and bioinformatics using neural networks and the results were listed here. Please enjoy it!

Research about Convolutional Neural Networks Published in ArXiv

17 minute read

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A convolutional neural network (CNN) is most popular deep learning algorithm used for image related applications. I have tried to collect and curate some publications form Arxiv that related to the Convolutional Neural Networks (CNNs), and the results were listed here. Please enjoy it!

Research about Deep Learning Application in Biology Published in bioRxiv

6 minute read

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Deep learning is a set of machine learning algorithms that attempt to model high-level abstractions in input data using multiple non-linear transformations. Some of the major advances in deep learning have been made in speech recognition, computer vision, and natural language processing. Considering that data volume is growing exponentially, deep learning is becoming increasingly important in the predictive analysis of big data. I have tried to collect and curate some publications form bioRxiv that related to the deep learning application in biology, and the results were listed here. Please enjoy it!

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machine-learning

Research about Information Extraction in Biology Published in bioRxiv

2 minute read

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Information Extraction refers to the automatic extraction of structured information such as entities, relationships between entities, and attributes that describe entities from unstructured sources. I have tried to collect and curate some publications form bioRxiv that related to the information extraction in biology, such as relation extraction and feature extraction. The results were listed here. Please enjoy it!

Research about Semi-supervised Learning Published in ArXiv

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Semi-supervised learning is a learning paradigm concerned with the study of how computers and natural systems, such as humans, learn in the presence of both labeled and unmarked data. I have tried to collect and curate some publications form Arxiv that related to the semi-supervised learning, and the results were listed here. Please enjoy it!

Computational Biology and Bioinformatics Research using Neural Networks Published in Nature

9 minute read

Published:

Computational biology, a biology branch involving the use of computers and computer science to understand and model the structures and processes of life. It involves the use of computational methods (e.g. algorithms) for the representation and simulation of biological systems, as well as for the interpretation of experimental data, often on a very large scale. I have tried to collect and curate some publications that related to the computational biology and bioinformatics using neural networks and the results were listed here. Please enjoy it!

Research about Convolutional Neural Networks Published in ArXiv

17 minute read

Published:

A convolutional neural network (CNN) is most popular deep learning algorithm used for image related applications. I have tried to collect and curate some publications form Arxiv that related to the Convolutional Neural Networks (CNNs), and the results were listed here. Please enjoy it!

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python-github-repository

Collections of Github Repository in Python for LSTM

2 minute read

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An LSTM is a type of recurrent neural network that addresses the vanishing gradient problem in vanilla RNNs through additional cells, input and output gates. This RNN type introduced by Hochreiter and Schmidhuber. I have tried to collect and curate some Python-based Github repository linked to the LSTM, and the results were listed here. Please enjoy it to support your research about LSTM using Python!

Collections of Github Repository in Python for Sentiment Analysis Task

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Sentiment Analysis ( SA) is a field of study that analyzes people’s feelings or opinions from reviews or opinions. Sentiment analysis can be seen as a natural language processing task, the task is to develop a system that understands people’s language. I have tried to collect and curate some Python-based Github repository linked to the sentiment analysis task, and the results were listed here. Please enjoy it to support your research about sentiment analysis using Python!

Collections of Github Repository in Python for Object Detection Task

2 minute read

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Object detection is part of the computer vision tasks related to identify or detect an object from an image or video. I have tried to collect and curate some Python-based Github repository linked to the object detection task, and the results were listed here. Please enjoy it to support your research about object detection using Python!

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blog

Hello World!

less than 1 minute read

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I will use this site to inform you about my academic journeys, includes teaching, research, publication, and other academic activities like fellowship.

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publication

Development of Typographical Error Identification Application in Indonesian Language Using Jaro-Winkler Distance Algorithm

3 minute read

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Text is one of the media used by humans to communicate and interact every day, especially in the field of education, for example, in writing a final project report. The most common thing in writing text is typographical errors. Based on these problems, an application is needed to help the writer to be able to identify typographical errors in the Indonesian Language document. The application developed using Laravel version 5.8 for web application and Python version 3 for processing datasets, developing model, and developing web services. Model built uses the NLTK library and Jaro-Winkler distance algorithm implemented using the pylibjaro library. The dataset uses an open-source dataset in the form of a list of words from KBBI. This application only supports pdf files. The results of the model are applied to the web services with output in the form of JSON data. The JSON data contains a list of words that have true or false values, the number of document words, the number of correct words, the number of incorrect words, and the time of program execution.

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tutorial

Tutorial: How to Create GitHub Pages for Academia

3 minute read

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As academia, having a website to publish portfolios is really important. GitHub Pages will be a perfect solution because it doesn’t cost anything. There is no need to buy a domain and web hosting service. Everything is all in Github. This tutorial will guide you to build your GitHub Pages. Please enjoy it!

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information-extraction

Research about Information Extraction in Biology Published in bioRxiv

2 minute read

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Information Extraction (IE) is used to extract useful information from unstructured or semi-structured data. I have tried to collect and curate some publications form bioRxiv that related to the information extraction in biology, and the results were listed here. Please enjoy it!

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