Using NLP to find named authors in mailing forums
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Natural Language Processing (NLP) and Machine Learning (ML) are hot topics in this season even though they have been around since the 1950'. NLP has come to attention because the amount of textual data available on-line is massive and users need software to handle it. There are multiple examples of solutions using NLP, e.g. email spam classification, machine translation, sentiment analysis and named-entity recognition (NER). NER is the task of finding special entities in textual documents, e.g. person names, locations and organizations.
This talk will show you
how to create a model to a NER framework which can detect named authors in mailing forums messages (documents),
how to measure the performance (quality) of the model and
experience about how to improve the model
The Call for Papers is now open for Scala eXchange 2017! Submit your talk for the chance to join a stellar line-up of experts on stage. Find out more.
Get your tickets for Scala eXchange 2017!
YOU MAY ALSO LIKE:
- Fast Track to Machine Learning with Louis Dorard (in London on 15th - 17th July 2019)
- Lightbend Scala Language - Professional (in London on 9th - 10th September 2019)
- Infiniteconf 2019 - A one-day community celebration of Big Data, Machine Learning and AI (in London on 4th July 2019)
- FullStack London 2019 - The Conference on JavaScript, Node & Internet of Things (in London on 10th - 12th July 2019)
- Disruptive innovation: what it really means to the construction sector (in London on 9th July 2019)
- ODSC July: Predicting the Global Economy in Real Time (in London on 15th July 2019)
- Accessing Snap ML (SkillsCast recorded in June 2019)
- Snap Machine Learning (SkillsCast recorded in June 2019)
Thanks to our sponsors
Using NLP to find named authors in mailing forums
Trym Møller
Trym Moeller has been employed as a software developer/consultant the last 16 years at various companies.
Please log in to watch this conference skillscast.
Natural Language Processing (NLP) and Machine Learning (ML) are hot topics in this season even though they have been around since the 1950'. NLP has come to attention because the amount of textual data available on-line is massive and users need software to handle it. There are multiple examples of solutions using NLP, e.g. email spam classification, machine translation, sentiment analysis and named-entity recognition (NER). NER is the task of finding special entities in textual documents, e.g. person names, locations and organizations.
This talk will show you
how to create a model to a NER framework which can detect named authors in mailing forums messages (documents),
how to measure the performance (quality) of the model and
experience about how to improve the model
The Call for Papers is now open for Scala eXchange 2017! Submit your talk for the chance to join a stellar line-up of experts on stage. Find out more.
Get your tickets for Scala eXchange 2017!
YOU MAY ALSO LIKE:
- Fast Track to Machine Learning with Louis Dorard (in London on 15th - 17th July 2019)
- Lightbend Scala Language - Professional (in London on 9th - 10th September 2019)
- Infiniteconf 2019 - A one-day community celebration of Big Data, Machine Learning and AI (in London on 4th July 2019)
- FullStack London 2019 - The Conference on JavaScript, Node & Internet of Things (in London on 10th - 12th July 2019)
- Disruptive innovation: what it really means to the construction sector (in London on 9th July 2019)
- ODSC July: Predicting the Global Economy in Real Time (in London on 15th July 2019)
- Accessing Snap ML (SkillsCast recorded in June 2019)
- Snap Machine Learning (SkillsCast recorded in June 2019)
Thanks to our sponsors
Using NLP to find named authors in mailing forums
Trym Møller
Trym Moeller has been employed as a software developer/consultant the last 16 years at various companies.