Blog

Tag Archives: state of the art

Posts related to the state of the art

NLP technologies: state of the art, trends and challenges

20/November/2019

Artificial Intelligence Cognitive Computing Deep Semantic Analytics Research Semantic Processing Text Analytics

state of the art vision of technology

This post presents MeaningCloud’s vision on the state of Natural Language Processing technology by the end of 2019, based on our work with customers and research projects.

NLP technology has practically achieved human quality (or even better) in many different tasks, mainly based on advances in machine learning/deep learning techniques, which allow to make use of large sets of training data to build language models, but also due to the improvement in core text processing engines and the availability of semantic knowledge databases.

Continue reading →

An Introduction to Sentiment Analysis (Opinion Mining)

13/October/2015

APIs Customer Experience Language Technology Semantic Processing Sentiment Analysis Voice of the Customer (VoC)

aspect-based sentiment analysis machine learning SemEval state of the art TASS text mining

In the last decade, sentiment analysis (SA), also known as opinion mining, has attracted an increasing interest. It is a hard challenge for language technologies, and achieving good results is much more difficult than some people think. The task of automatically classifying a text written in a natural language into a positive or negative feeling, opinion or subjectivity (Pang and Lee, 2008), is sometimes so complicated that even different human annotators disagree on the classification to be assigned to a given text. Personal interpretation by an individual is different from others, and this is also affected by cultural factors and each person’s experience. And the shorter the text, and the worse written, the more difficult the task becomes, as in the case of messages on social networks like Twitter or Facebook.

Continue reading →