544 results
- Go to itemThis workflow demonstrates how to do sentiment analysis by fine-tuning Google's BERT network. The idea is straight forward: A sma…12
- Go to itemThis workflow addresses the problem of extracting and modeling topics from reviews. Block 1 performs the data preparation on revi…4
- Go to itemThis workflow shows how to import text from a csv file, convert it to documents, preprocess the documents and transform them into…4
- Go to itemThis workflow performs textprocessing on KNIME tweets using the Dictionary Tagger (Multi Column) and Term Neighborhood Extractor …3
- Go to itemA simple workflow demostrating how to utilize all Spacy nodes in Knime. The example is given for Portuguese texts from Wikipedia.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 itemThis workflow shows how to extract topics from text documents using the Topic Extractor node. It reads textual data from a table …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 itemUsing the Semantic Scholar API to retrieve some articles and after performing clustering tasks, the GPT3 component for Informatio…3
- 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 examines a sample of tweets from the days surrounding the scottisch referendum for independence in 2014 [1]. After …2
- Go to itemThis workflow was presented at the webinar "KNIME & Redfield Present State-of-the-Art Language Models, Now Available Through Low-…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 is designed to collect and store a sample of tweets on a particular search term. With each execution of the workflo…2
- 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 itemThe workflow starts reads ten famous fairy tales of the Brothers Grimm and two dictionaries containing the names or part of the n…2
- 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 …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 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 itemThe workflow reads textual data from a csv file and converts the strings into documents. The documents are then preprocessed, i.e…2