Using social media, machine learning and natural language processing to map multiple recreational beneficiaries
نویسندگان
چکیده
منابع مشابه
willingness to communicate in the iranian context: language learning orientation and social support
why some learners are willing to communicate in english, concurrently others are not, has been an intensive investigation in l2 education. willingness to communicate (wtc) proposed as initiating to communicate while given a choice has recently played a crucial role in l2 learning. it was hypothesized that wtc would be associated with language learning orientations (llos) as well as social suppo...
Natural Language Processing for Social Media
Today, social media refers to a wide range of Web sites and Internet-based services that allow users to create content and interact with other users. Some of these tools, such as multi-party chats, discussion forums, blogs, and online reviews, have been a focus of natural language processing (NLP) research for quite some time now. But within the last decade, NLP work has expanded rapidly to cov...
متن کاملMachine Learning in Natural Language Processing
This thesis examines the use of machine learning techniques in various tasks of natural language processing, mainly for the task of information extraction from texts. The objectives are the improvement of adaptability of information extraction systems to new thematic domains (or even languages), and the improvement of their performance using as fewer resources (either linguistic or human) as po...
متن کاملMachine Learning in Natural Language Processing
Machine learning is concerned with acquiring knowledge from an environment in a computational manner, in order to improve the performance. (See Langley [15] for overview of ML.) Many forces over the past couple of decades have seen the blending of ML and NLP become increasingly common. The ever expanding availability of large corpora; more powerful computing resources; and a greater demand for ...
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ژورنال
عنوان ژورنال: Ecosystem Services
سال: 2019
ISSN: 2212-0416
DOI: 10.1016/j.ecoser.2019.100958