In research fields, emotion analysis and opinion mining using data from different platforms
are up burning field. In this paper, we tried to represent sentiment of twitter data on core text …

During the previous decades, intelligent identification of acronym and expansion pairs from
a large corpus has garnered considerable research attention, particularly in the fields of text …

Business Rules (BR) are usually written by different stakeholders, which makes them
vulnerable to contain different designations for a same concept. Such problem can be the …

Clinical texts are written with acronyms, abbreviations and medical jargon expressions to
save time. This hinders full comprehension not just for medical experts but also laypeople …

Acronym Identification means to recognizing acronyms and their definitions in a given
paragraph by an algorithm. Existing studies have shown that the pre-training model has …

Pour améliorer la pertinence des décisions prises, les organisations se basent souvent sur
des règles métier, qui constituent la majorité des exigences logicielles. Étant donné que les …

This paper presents a generic approach in order to extract experimental information from
scientific documents in specialized domains. We are here describing the first phase of our …

We evaluate the performance of a distributed approach to recognize acronym and
expansion pairs using Apache Spark. We train and evaluate the K-NN, Parallel SVM, and …