Text classification or categorization is the process of automatically tagging a textual
document with most relevant labels or categories. When the number of labels is restricted to …

To determine whether a document or a sentence expresses a positive or negative sentiment,
three main approaches are commonly used: the lexicon-based approach, corpus-based …

Despite that pre-trained word embedding models have advanced a wide range of natural
language processing applications, they ignore the contextual information and meaning …

In this paper, we propose a semi-supervised approach for sentiment analysis of Arabic and
its dialects. This approach is based on a sentiment corpus, constructed automatically and …

Categorizing Arabic text documents is considered an important research topic in the field of
Natural Language Processing (NLP) and Machine Learning (ML). The number of Arabic …

Social media platforms like Twitter are commonly used by people interested in various
activities, interests, and subjects that may cover their everyday activities and plans, as well …

Feature extraction has transformed the field of Natural Language Processing (NLP) by
providing an effective way to represent linguistic features. Various techniques are utilised for …

Plagiarism detection is very important especially for academician, researchers and students.
Although, there are many plagiarism detection tools, it is still challenging task because of …

Nowadays, sports video analysis is gaining a lot of traction. Cricket is an exciting team sport
to watch. Cricket is becoming more popular, but due to the game's length and intricacy …

Word embeddings is the representation of the text using vectors such that the words that
have similar syntax and semantic will have similar vector representation. Representing …