Natural Language Processing e Computational Linguistics
0 likes82 views
The document discusses advancements in natural language processing and computational linguistics, highlighting technologies such as neural machine translation and topic modeling. It emphasizes the exponential growth of data from 2013 to 2020, from 4.4 zettabytes to 44 zettabytes, driving the demand for machine learning, artificial intelligence, and real-time insights. The need for scalability, low latency, and throughput in cloud services and data management is also addressed.
Natural Language Processing e Computational Linguistics
- 2. ESX Microsoft MVP Artificial Intelligence vitormeriat.com.br linkedin.com/in/vitormeriat twitter.com/vitormeriat github.com/vitormeriat youtube.com/vitormeriat
- 3. Agenda
- 4. Big Data
- 6. October 1958 IBM Journal article by H. P. Luhn, A Business Intelligence System
- 7. Garbage in, garbage out
- 9. Exposing impersonators of a Romanian writer using stopwords
- 12. Topic Modeling
- 15. Word Embeddings
- 18. Perceptron
- 21. A faster, more efficient, more intelligent cloud Data explosion: 2013 4.4 ZB - 2020 44 ZB ML, DNN, AI are driving requirements up faster Autonomous decision making Real-time insights into connected devices Interactive user experiences Cloud-scale services Searches and recommendations (Indexing the Internet!) The need for SCALE The need for LOW-LATENCY The need for THROUGHPUT 1 0 0 1 1 0 1 0 1 0 2013 1 0 0 1 1 0 1 0 1 0 2020 4.4 ZB 44 ZB 0 1 0 0 0 1 0 1 0 1 1 1 0 1 1 0 1 0 1 0 1 0 1 1 0 0 0 1 1 0 0 1 0 0 0 1 0 1 0 1 1 0 0 1 1 0 1 0 1 0 0 0 1 0 0 1 1 0 1 1 1 0 1 1 1 0 1 0 1 0 0 0 0 1 0 0 1 1 1 0 0 1 1 0 0 0 1 0 1 1 Source: IDC 2014