GTCOM has long been engaged in the R&D and application of natural language processing (NLP) technologies. Adopting advanced machine learning technologies such as recurrent neural network, convolutional neural network, conditional random field, support vector machine, and random forest, GTCOM makes good use of its 100-billion language database to build highly accurate and efficient NLP algorithms.
There are a total of 65 algorithms in about a dozen categories, covering functions such as word segmentation, part-of-speech tagging, named-entity recognition, sensitivity determination, sentiment analysis, automatic summarization, keyword extraction, text classification, text quality assessment, hot topic clustering, event element extraction, and knowledge graph building. They support more than 30 languages and can process texts in vertical fields such as finance, science and technology, and engineering.
For more information: Globalbiz@gtcom.com.cn