The Creation of Custom Data Sets to Meet Customer Needs: A BSC Project
Rapidly advancing technology and the growing need for accurate and efficient data analysis have led organizations to seek customized data sets tailored to their specific needs.
Rapidly advancing technology and the growing need for accurate and efficient data analysis have led organizations to seek customized data sets tailored to their specific needs.
The clarity of annotation guidelines is a key building block to obtain quality data used to train machine learning models. Proper training and annotation guidelines for human labelers are key factors directly determining how well those models will...
The flood of articles, reviews, uses (sometimes humorous), anecdotes, fears and discomfort in the face of change seems to be dominating conversations between both friends and technology experts. I've resisted the urge to post "just another review"...
The anonymization of personal data represents a set of techniques and methods used to guarantee the right to privacy of individuals against the use of their personal data by third parties. It is a methodology that minimizes the risks of an...
Undoubtedly, the intelligent use of data is a vital and strategic action for any company or research organization. However, this legitimate exploitation of data is limited by the need to preserve the right to privacy of data subjects.
The named entity recognition (NER) model is a natural language processing (NLP) application that has become the basis for certain automatic tasks, such as machine translation, information retrieval, and text anonymization.
Data analysis is an effective practice in research, in the prediction of behaviors and trends and, consequently, in decision-making in any sector; business, commerce, science, education, government, etc.
Nowadays, personal data protection is a strategic action for companies. And not only for compliance with legal regulations, but also to avoid loss of trust and, consequently, loss of business opportunities.
The digital world is full of opportunities provided by the Internet, as well as cloud servers, when it comes to hosting, sharing and using the profusion of data that is becoming increasingly abundant and valuable to users and businesses around the...
Data cleansing is an essential step in the search for any type of data validation. This also includes the processes related to language technologies, encompassing both Machine Translation and Deep Learning procedures associated with it.