Author: chakir.mahjoubi
Patents: Importance, Purpose and Translation
Abstract Today, businesses need to create new innovations for our everyday use. However, preventing those innovations from competition is still a daunting issue. To protect innovations and new creatives from being duplicated, government grants [more…]
Taxonomy in Natural Language Processing
In natural language processing (NLP), taxonomy, ontology, and knowledge graphs play critical roles in enabling machines to understand, categorize, and derive meaning from human language. These frameworks help structure linguistic data, provide context, and [more…]
Social media As a Viral Marketing Platform
Social media refers to online platforms and tools that enable users to create, share, and exchange content, ideas, and information among individuals, groups, and organizations, allowing them to connect with each other and stay [more…]
Unveiling the Complexity of Arabic Causatives
Introduction Begin by introducing the concept of causatives in linguistic theory. Provide a brief overview of causatives in general and their importance in understanding how languages express cause-effect relationships. For instance: Definition of Causatives: [more…]
Conversational Analysis, A the study of human interaction
Conversational Analysis is an approach to the study of social interaction that empirically investigates the mechanisms by which humans achieve mutual understanding. A conversation refers to two or more individuals involved in a conversation [more…]
Parts of Speech Tagging in NLTK
In corpus linguistics, POS Tagging (Parts of Speech Tagging) also called grammatical tagging is a process of marking up words in text format for a particular part of a speech based on its definition [more…]
Vader for text Analysis
VADER (Valence Aware Dictionary and sEntiment Reasoner) is a sentiment analysis tool specifically attuned to sentiments expressed in social media. It is sensitive to both polarity (positive/negative) and intensity (strength) of emotion. VADER is [more…]
Taxonomy in Natural Language Processing
In natural language processing (NLP), taxonomy, ontology, and knowledge graphs play critical roles in enabling machines to understand, categorize, and derive meaning from human language. These frameworks help structure linguistic data, provide context, and [more…]
Glossary Standardization and Synonyms in Arabic Language
Glossary standardization and the use of synonyms in the Arabic language present unique challenges and opportunities, especially in fields like translation, localization, and knowledge management. Arabic is a rich and diverse language with multiple [more…]
Ontologies Can Help Machines Understand Human Language.
In natural language processing (NLP), taxonomy, ontology, and knowledge graphs play critical roles in enabling machines to understand, categorize, and derive meaning from human language. These frameworks help structure linguistic data, provide context, and [more…]
