The goal of this workflow is to show how to use KNIME Tika Integration nodes to parse document metadata and attachments, includin…

For the purposes of enrichment, this workflow applies a variety of tags to words in a Document. - Part-Of-Speech (POS) tags via t…

Filtering. Here, all those terms that do not contain text content, such as stop words, numbers, punctuation marks, etc. are filte…

Read the Large Movie Review Dataset [1]. The dataset contains labeled reviews as positive or negative, as well unlabeled reviews.…

Build the word cloud of a single forum user, for example "Vincenzo", the author of this book.

Read the content of the epub book of the novel "Romeo and Juliet" from the folder, Thedata\pg1513.epub. Tag and keep all those wo…

Connect to one of these 3 RSS feeds: - New York Times World (English) URL: http://rss.nytimes.com/services/xml/rss/nyt/World.xml …

- Document Data Extractor node extracts information from a document object into data columns. - Meta Info Inserter node inserts (…

Here we execute the workflow in a streming fashion. The aim of this workflow is to create a vector space with the collection of d…

Read the Thedata/mouse-cancer.csv and Thedata/Human-AIDS.csv datasets. Both datasets contain scientific articles from PubMed incl…

This workflow extracts the interactions between users in one of the KNIME Forums. On one side the author of a post and on the oth…

Connect to one of these 3 RSS feeds: - New York Times World (English) URL: http://rss.nytimes.com/services/xml/rss/nyt/World.xml …

This is an example of sentiment analysis using machine learning. The IMDB data set contains movie reviews labelled by sentiment. …

Connect to one of these 3 RSS feeds: - New York Times World (English) URL: http://rss.nytimes.com/services/xml/rss/nyt/World.xml …

Connect to one of these 3 RSS feeds: - New York Times World (English) URL: http://rss.nytimes.com/services/xml/rss/nyt/World.xml …

Connect to one of these 3 RSS feeds: - New York Times World (English) URL: http://rss.nytimes.com/services/xml/rss/nyt/World.xml …

Here we use word embedding instead of hot encoding, using a Word2Vec Learner node. The hidden layer size is set to 10, therefore …

This is a workflow for topic classification. After converting the Documents into word vectors, it becomes a traditional classific…

This workflow contains just a single node: the String Widget node. The String Widget node can input a text and export it as a flo…

Read the Large Movie Review Dataset [1] (sampled) available at the following path Thedata/MoviereviewDataset_sampled.table. The d…