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Found 10 papers, 1 papers with code
Indexing Medical Images based on Collaborative Experts Reports
Moreover, physician, in charge of medical image analysis, might be unavailable at the right time, which may complicate the patient's state.
Using a bag of Words for Automatic Medical Image Annotation with a Latent Semantic
We present in this paper a new approach for the automatic annotation of medical images, using the approach of "bag-of-words" to represent the visual content of the medical image combined with text descriptors based approach tf. idf and reduced by latent semantic to extract the co-occurrence between terms and visual terms.
Detecting Local Community Structures in Social Networks Using Concept Interestingness
On the first stage of COIN, we extract the formal concepts that capture all the cliques and bridges in the social network.
TUNIZI: a Tunisian Arabizi sentiment analysis Dataset
On social media, Arabic people tend to express themselves in their own local dialects.
Learning Word Representations for Tunisian Sentiment Analysis
In this paper, we focus on the Tunisian dialect sentiment analysis used on social media.
iCompass at SemEval-2020 Task 12: From a Syntax-ignorant N-gram Embeddings Model to a Deep Bidirectional Language Model
We describe our submitted system to the SemEval 2020.
A Multilingual African Embedding for FAQ Chatbots
Searching for an available, reliable, official, and understandable information is not a trivial task due to scattered information across the internet, and the availability lack of governmental communication channels communicating with African dialects and languages.
TunBERT: Pretrained Contextualized Text Representation for Tunisian Dialect
Despite their success, most of the available models have been trained on Indo-European languages however similar research for under-represented languages and dialects remains sparse.
Introducing A large Tunisian Arabizi Dialectal Dataset for Sentiment Analysis
On various Social Media platforms, people, tend to use the informal way to communicate, or write posts and comments: their local dialects.
iCompass at Shared Task on Sarcasm and Sentiment Detection in Arabic
We tackled both subtasks, namely Sarcasm Detection (Subtask 1) and Sentiment Analysis (Subtask 2).
