GTCOM has long been engaged in the R&D and application of NLP technologies. Adopting cutting-edge machine learning technologies such as recurrent neural network, convolutional neural network, conditional random fields, support vector machine, and random forest, it leverages a global multilingual text database with hundreds of billions of entries to build high-precision and high-efficiency multilingual natural language processing algorithms for word segmentation, part-of-speech tagging, named entity recognition, sensitivity analysis, sentiment analysis, automatic summarization, key word extraction, text classification, text quality assessment, hotspot clustering, event element extraction, and knowledge graph building.
All these constitute a one-and-for-all information processing solution for in-depth analysis of cross-language texts from around the world. Currently, the platform supports more than 30 languages and provides more than 10 types of algorithms.
For more information:
2020nlp@gtcom.com.cn