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Khan et al., 2019 - Google Patents

Comparative analysis on Facebook post interaction using DNN, ELM and LSTM

Khan et al., 2019

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Document ID
8975948002213061329
Author
Khan S
Chang H
Publication year
Publication venue
PloS one

External Links

Snippet

This study presents a novel research approach to predict user interaction for social media post using machine learning algorithms. The posts are converted to vector form using word2vec and doc2vec model. These two methods are used to analyse the best approach …
Continue reading at journals.plos.org (HTML) (other versions)

Classifications

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    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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