@theNeomatrix369@ApacheOpennlp@stanfordnlp If your project's success depends heavily on performance of Named Entity Recognition, please start with OpenNLP. Be aware that NER's results are highly domain specific. If your textual data is very different from the training data OpenNLP or StanfordNLP used, train your own model
News & Views: A paper in Nature outlines an approach that brings us closer to a brain–computer interface that can restore speech function. https://t.co/4zkOU4nTbp
Named entity recognition is easy for humans and hard for machines. Correctly recognizing brands, companies and services is critical in marketing research that uses textual #bigdata. CoreNLP by @stanfordnlp fulfills several advertising research needs well: https://t.co/2ZraeQuACY
Jack Ma of @AlibabaGroup believes that Artificial Intelligence threatens human beings: https://t.co/KN5ZMRMDys. Jack's points seem to be at odds with some of top #AI and machine learning researchers in #bigdata.
The power of machine learning in healthcare analytics: the potential value of big data in predicting, preventing and curing disease. Precision health: https://t.co/DuQwZgjzML
Natural language processing (#NLP) is a subfield in artificial intelligence (#AI). Many #MachineLearning approaches are available for #NLP. #NLP is useful in analysis of #bigdata, augmented reality (#AR) and #IoT: https://t.co/m8lPYjkNg3.
How do algorithms and bots affect election outcomes? New paper on automated political communication in the 2016 US election out now in the Journal of Information Technology and Politics! Read on: https://t.co/mGZYsQsUdU @pnhoward @samuelwoolley #TechNews#politics
We need a Goldilocks Rule for AI:
- Too optimistic: Deep learning gives us a clear path to AGI!
- Too pessimistic: DL has limitations, thus here's the AI winter!
- Just right: DL can’t do everything, but will improve countless lives & create massive economic growth.
Two machine learning methods for sentiment analysis are useful. One is #DeepLearning, for which @stanfordnlp provides a Java implementation https://t.co/FBxzJJ3PMJ. Another is #MaxEnt, i.e., maximum entropy, a good classifier for textual #bigdata of brand user generated content.