Wahab Khan

Wahab Khan
University of Science & Technology Bannu · Computer Science

PhD in Computer Science and Assistant Professor at the Department of Computer Science University of Science and Technology Bannu Pakistan

About

16
Publications
41,374
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245
Citations

Publications

Publications (16)
Article
Research efforts in the field of sentiment analysis have exponentially increased in the last few years due to its applicability in areas such as online product purchasing, marketing, and reputation management. Social media and online shopping sites have become a rich source of user-generated data. Manufacturing, sales, and marketing organizations a...
Article
Full-text available
Part of speech (POS) tagging, the assignment of syntactic categories for words in running text, is significant to natural language processing as a preliminary task in applications such as speech processing, information extraction, and others. Urdu language processing presents a challenge due to the dual behaviour of various Urdu POS tags in differi...
Article
Full-text available
Named entity recognition (NER) continues to be an important task in natural language processing because it is featured as a subtask and/or subproblem in information extraction and machine translation. In Urdu language processing, it is a very difficult task. This paper proposes various deep recurrent neural network (DRNN) learning models with word...
Article
Full-text available
In Urdu, part of speech (POS) tagging is a challenging task as it is both inflectionally and derivationally rich morphological language. Verbs are generally conceived a highly inflected object in Urdu comparatively to nouns. POS tagging is used as a preliminary linguistic text analysis in diverse natural language processing domains such as speech p...
Article
Full-text available
User reviews, blogs, and social media data are widely used for various types of decision-making. In this connection, Machine Learning and Natural Language Processing techniques are employed to automate the process of opinion extraction and summarization. We have studied different techniques of opinion mining and found that the extraction of opinion...
Article
Full-text available
Urdu is the national language of Pakistan, also the most widely spoken and understandable language of the globe. In order to accomplish successful Urdu NLP a robust and high-performance NLP tools and resources are utmost necessary. Word segmentation takes on an authoritative role for morphologically rich languages such as Urdu for diverse NLP domai...
Article
Full-text available
Here in this study, we provide an empirical analysis of recent advances, characteristic and challenges of big data. Initially, we acquaint the readers with the general background, history, and characteristics of big data including volume, velocity, value and variety etc. The scope of applications for big data including political services and govern...
Article
Full-text available
Word Segmentation is considered a basic NLP task and in diverse NLP areas, it plays a significant role. The main areas which can be benefited from Word segmentation are IR, POS, NER, sentiment analysis, etc. Urdu Word Segmentation is a challenging task. There can be a number of reasons but Space Insertion Problem and Space Omission Problems are the...
Article
Full-text available
Opinion mining is an interesting area of research because of its wide applications in the decision-making process. Opinion mining aims to extract user's perception from the text and to create a fast and accurate summary of people's opinion about anything. In this study, we have worked on opinion target identification and the impact of anaphora reso...
Article
Full-text available
Internet is the most significant source of getting up thoughts, surveys for a product, and reviews for any type of service or activity. A Bulky amount of reviews are produced on daily basis on the cyberspace about online products and objects. For example, many individuals share their remarks, reviews and feelings in their own language utilizing soc...
Conference Paper
Full-text available
In Natural language processing, one of the fundamental tasks is Named Entity Recognition (NER) that include identifying names of peoples, locations and other entities. Applications of NER include catboats, speech recognition, machine translation, knowledge extraction and intelligent search systems. NER is an active research domain for the las...
Article
Full-text available
Extensive work has been done on different activities of natural language processing for Western languages as compared to its Eastern counterparts particularly South Asian Languages. Western languages are termed as resource-rich languages. Core linguistic resources e.g. corpora, WordNet, dictionaries, gazetteers and associated tools being developed...
Article
Full-text available
Machine learning and Statistical techniques are powerful analysis tools yet to be incorporated in the new multidisciplinary field diversely termed as natural language processing (NLP) or computational linguistic. The linguistic knowledge may be ambiguous or contains ambiguity; therefore, various NLP tasks are carried out in order to resolve the amb...
Article
Full-text available
Named entity recognition(NER) and classification is a very crucial task in Urdu. One challenge among the others which makes Urdu NER task complex is the non-availability of enough linguistic resources. The NER research for English and other Western languages has a long tradition and significant amount of work has been done to solve NER problems in...

Questions

Question (1)
Question
is the morphological richness characteristic of any language adds to the challenge of the NER task?

Projects

Projects (3)
Project
Technical IR, NLP, and other works
Project
Urdu language is my native language. I wish to contribute in this area by working in Urdu Language Processing, specifically from the computational point of view such as Machine Learning. I am not focused on the engineering aspect of ULP in this research.
Project
Machine learning model applications for Urdu language processing are one of the recent focus of our Data Mining and Information Retrieval.