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Afaan Oromo Named Entity Recognition Using Deep Learning Thesis

Ibsa Beyene; Ibsa Beyene (2020-01)

Named Entity Recognition (NER) is an essential and challenging task in Nat ural Language Processing (NLP), particularly for resource-limited languages like Afaan Oromo(AO). NER is a type of sequence tagging task that ...

Afaan Oromo News Stance Detection using Machine Learning and Deep Learning Approach Thesis

Fikadu, Tadese; Urgessa, Teklu; Zellalem, Mizanu (2022-12-12)

Nowadays in the age of technology, a tremendous amount of data is being generated online and offline every day. Likewise, so many people today are sticking to the internet using telecommunications equipment to keep up ...

Afaan Oromo News Text Classification Using A Deep Learning Approach Thesis

Lalisa Tadesa; Getachew Mamo; Amanuel Asseffa (2022-06)

Today development of the internet has made Afaan Oromo texts easily available and widespread online. Along with the ever-increasing volume of information resources, there is an increasing interest in better solutions ...

Afaan Oromo Parser using Hybrid Approach Thesis

Tesfaye Gadisa; Debela Tesfaye; Kibret Zewdu (2017)

Nowadays, Natural Language Processing (NLP) concerns with the interaction between computers and human natural languages. The most difficult task in NLP is to learn natural languages for the computer. Parsing is one of ...

Afaan Oromo Sentence Based Plagiarism Detection: A Semantic Similarity Approach Thesis

Gizaw Tadele; Million Meshesha; Admas Abtew (2019)

In current day the availability of digital technology enables world community to communicate and exchange information easily. As a result of which, we are in the era of information overloading where various types of ...

Amharic aspect based opinion summarization using bootstrap on hotel domain Thesis

Seid Husssein; Debela Tesfaye (2019)

Over the last few years, this special task of summarizing opinions has stirred tremendous interest amongst the NLP and Text Mining communities. The simplest form of an opinion summary is the result of sentiment prediction. ...

Amharic text chunker using machine leaning approach Thesis

Birhan Hailu (2019)

Natural language processing has an important role in our daily life, by enabling computers to understand human languages. Text chunking is one of an essential task in NLP applications. The Information generated by this ...

Amharic Text Summarization for News Items posted on Social Media Thesis

Abaynew Guadie; Debela Tesfaye; Teferi Kebebew (2017)

Nowadays, the information overloads with social media are with the development in natural language application for the local Amharic language speaker posted texts, the amount of data one has to deal with increased rapidly ...

Authentication And Classification Of Ethiopian Coffee Beans Using Deep Learning Approach. Thesis

Amanuel Bekele; Elsabet Wedajo; Mizanu Zelalem (2024-01-24)

This research paper presents a comprehensive study on the authentication and classification of Ethiopian coffee beans using deep learning algorithms. The objective is to develop an accurate and reliable model for ...

Automatic Detection of Extremist Affiliations Using Deep Learning-Based Sentiment Analysis on Social Media Posts for Afaan Oromo Thesis

Solomon, Amanuel (2021-11-21)

In recent years, the Internet has become a global platform for communicating and disseminating information. Today, popular social media sites have a huge global reach and audience with many daily active users who ...

Automatic Detection of Pulmonary Tuberculosis with MobileNet and Entropy-Based Feature Fusion Strategy Thesis

Israel Wondimu; Worku Jifara; Admas Abtew (2023-07)

The mycobacterium tuberculosis causes the chronic necrotizing disease known as tuberculosis. Complex pulmonary tuberculosis is a bacterial infection brought on by the easily airborne Mycobacterium TB. The primary ...

Character Identi cation in Multiparty Dialogues; Identifying Mentions of the Characters from Amharic TV show Transcripts Thesis

Dawod Yimer; Wondwesen Mulugeta; Efrem Tadese (2019)

Character Identi cation is an entity linking task that nds the global entity of each personal mention on multiparty dialogue. In this work, we combined coreference resolution and entity linking to accomplish a more ...

Classification of Cattle skin Disease using Deep Learning approach. Thesis

Samuel Gedefa; Getachew Mamo; Zerihun Olana (2023-09)

Cattle skin diseases are particular kinds of diseases caused by tumors, allergies, parasites, autoimmune; bacteria infectious, and viral diseases and many cattle skin diseases are very dangerous, mostly if not treated ...

Classification of Chronic Obstructive Pulmonary Diseases from Chest X-Ray Images Using Deep Learning Thesis

Meseret, Amanuel (2021-11-27)

To reduce the risk of Chronic Obstructive Pulmonary Disease and we have proposed the applications of digital image processing techniques. To accomplish our study, we have adopted a design science methodology and followed ...

Context based spell checker for amharic Thesis

Nigusu Yitayal (2016-06)

Developing language applications or localizations of software is a resource intensive task that requires the active participation of stakeholders with various backgrounds. Spell checking is the one and significant ...

Context based spell checker for Amharic Thesis

Nigusu Yitayal; Getachew Mamo; Teferi Kebebew (2016-06)

Developing language applications or localizations of software is a resource intensive task that requires the active participation of stakeholders with various backgrounds. Spell checking is the one and significant ...

Context-sensitive sentence auto-completion for Amharic text Thesis

Mohammed Nuru; Debela Tesfaye; Seid Yesuf (2016)

Sentence completion is an unsolvable problem in the area of Natural Language Processing and Information Retrieval field of study. These-days, alertly increasing the number of electronic device users, who need to perform ...

Designing Dictionary Based Spelling Checker for Afaan Oromoo Thesis

Abduljebar Kedir; Wondwossen Mulugeta (2019)

The focus of this thesis work is to design dictionary based spelling checker for Afaan Oromoo language. We proposed a dictionary lookup and n-gram approach to detect the misspelled word(s) and provide the correction ...

Detection And Classification Of Offensive Nuances Of Afaan Oromo Text On Social Media Using Supervised Machine Learning Approach Thesis

Dejene Wakuma; Getachew Mamo; Hailu Beshada (2022-07)

Users of social media can share and consume information freely. This opportunity leads them to disseminate toxic information which we can call offensive language. In a country like Ethiopia where multi nations and ...

Developing A Predictive Model For Divorce Of Married Couples By Employing A Machine Learning Approach Thesis

Hadira Hasen; Amanuel Ayde; Zerihun Olana (2023-06)

The aim of this study is developing a predictive model for divorce of couples by employing a machine learning approach and ensemble learning techniques. Within the scope of this study, prediction was carried out by ...

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