{"id":690,"date":"2018-12-02T02:38:21","date_gmt":"2018-12-02T01:38:21","guid":{"rendered":"https:\/\/www.pschatzmann.ch\/home\/?p=690"},"modified":"2020-11-21T22:22:49","modified_gmt":"2020-11-21T21:22:49","slug":"dl4j-doc2vec-sentiment-analysis-using-sentiment140","status":"publish","type":"post","link":"https:\/\/www.pschatzmann.ch\/home\/2018\/12\/02\/dl4j-doc2vec-sentiment-analysis-using-sentiment140\/","title":{"rendered":"DL4J Doc2Vec – Sentiment Analysis using Sentiment140"},"content":{"rendered":"

I am planning to use the DL4J Doc2Vec <\/a>implementation for a sentiment analysis.<\/p>\n

However, I don’t want to start with an empty network but the staring point should be a pre-trained network: The initial trining should be done with the Sentiment140 dataset which can be found at https:\/\/www.kaggle.com\/kazanova\/sentiment140.<\/a> It contains 1,600,000 tweets extracted using the twitter api.<\/p>\n

In this Gist<\/a> I describe how to train and save a DL4J Doc2Vec. The serialized model is available on Kaggle<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

I am planning to use the DL4J Doc2Vec implementation for a sentiment analysis. However, I don’t want to start with an empty network but the staring point should be a pre-trained network: The initial trining should be done with the Sentiment140 dataset which can be found at https:\/\/www.kaggle.com\/kazanova\/sentiment140. It contains […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_crdt_document":"","_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[4,14],"tags":[],"class_list":["post-690","post","type-post","status-publish","format-standard","hentry","category-data-science","category-machine-learning"],"yoast_head":"\nDL4J Doc2Vec - Sentiment Analysis using Sentiment140 - Phil Schatzmann<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.pschatzmann.ch\/home\/2018\/12\/02\/dl4j-doc2vec-sentiment-analysis-using-sentiment140\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"DL4J Doc2Vec - Sentiment Analysis using Sentiment140 - Phil Schatzmann\" \/>\n<meta property=\"og:description\" content=\"I am planning to use the DL4J Doc2Vec implementation for a sentiment analysis. 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