699 results
- Go to itemThis workflow shows how to import text from a csv file, convert it to documents, preprocess the documents and transform them into…7
- Go to itemThis workflow shows how to extract topics from text documents using the Topic Extractor node. It reads textual data from a table …5
- Go to itemThis workflow is designed to collect and store a sample of tweets on a particular search term. With each execution of the workflo…4
- Go to itemThis workflow performs textprocessing on KNIME tweets using the Dictionary Tagger (Multi Column) and Term Neighborhood Extractor …4
- Go to itemHere we use word embedding instead of hot encoding, using a Word2Vec Learner node. The hidden layer size is set to 10, therefore …3
- Go to itemThe workflow starts reads ten famous fairy tales of the Brothers Grimm and two dictionaries containing the names or part of the n…3
- Go to itemThis workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used netwo…3
- Go to itemThe workflow builds a text stream visualization of a story, where we can see the frequency fluctuation of each character's mentio…3
- Go to itemA lemmatizer removes inflections, e.g in case of plurals, pronoun case, and verb endings of a word to revert it back to its base …3
- Go to itemThis workflow explores a possible way to identify the optimal number of topics which describe appropiately a corpus. After choosi…2
- Go to itemIn this workflow we will: - Read the dataset listing tweets with hashtag #KNIME around the week of July 12, 2018 - Row filter and…2
- Go to itemThis workflow demonstrates how different languages can be blend with KNIME. The question is, can they be blend? Furthermore the w…2
- Go to itemThis workflow examines a sample of tweets from the days surrounding the scottisch referendum for independence in 2014 [1]. After …2
- Go to itemThe workflow reads textual data from a csv file and converts the strings into documents. The documents are then preprocessed, i.e…2
- Go to itemThe goal of this workflow is to do spam classification using YouTube comments as the dataset. The workflow starts with a data tab…2
- Go to itemThis workflow demonstrates how to apply a fuzzy matching of two string. The string matcher was designed exactly for this task, bu…2
- Go to itemThis workflow demonstrates the LDA part of the topic modeling process for Anil Özer's Master's Thesis. It employs the ABC News He…1
- Go to itemThe workflow shows two examples for the Topic Extrator (Parallel LDA) node. The first workflow extracts topics from the "Romeo & …1
- Go to itemThe workflow starts with URLs to some RSS news feeds. The news feed is downloaded, parsed and transformed in documents. Names of …1
- Go to itemThis workflow draws the network of contacts in the forum and the word cloud of the posts for each forum section.1