A tag cloud is a representation of words indicating the importance of the words by manipulating the visual properties. Here we use the distribution of font size, transparency and boldness of the font.
The user can change the following view properties on the fly:
- Minimal and maximal font size
- The distribution of the font size (linear, logarithm or exponential)
- The font name
- The amount of bold terms
- The transparency of the labels
- Zooming
Color of term:
To improve the variety of the tag cloud the colors of the terms are arranged. There are two possibilities. The user can create its own distribution method by adding a color to the rows, using the color appender.
If there were no colors added to the rows, the color will be arranged using the type of the first term. The so preselected colors can afterwards be changed on the fly.
HiLiting:
The terms may be selected by dragging a rectangle with the mouse over the points or by clicking on points. The selected terms may be hilited by either right-click to get the context menu or via the hilite menu in the menu bar.
Important: If a term was found in more than one row, hiliting this term will cause all rows to be hilited, which contains this term. On the other hand, for hiliting a term it is sufficient that one of its representing rows was hilited.
Options
Popular Predecessors
Bag of Words Creator7 %- Color Manager7 %
- Value Counter4 %
Row Filter (deprecated)4 %File Reader3 %- Rule-based Row Filter2 %
- Bag Of Words Creator2 %
Scorer1 %Document vector1 %Strings To Document1 %- Term Vector1 %
- Scatter Plot (JavaScript)1 %
- String Manipulation1 %
- Partition Table1 %
- Table Creator1 %
POS tagger1 %- Excel Reader1 %
- Size Manager1 %
- Stanford Tagger1 %
- GroupBy< 1 %
- Frequency Filter< 1 %
- TF< 1 %
Stop Word Filter< 1 %- Tag Cloud (JavaScript)< 1 %
- Word Parser< 1 %
- OpenNLP NE Tagger< 1 %
- Tag Filter< 1 %
Document Data Extractor< 1 %- Table to String< 1 %
- RowID< 1 %
- Chi-Square Keyword Extractor< 1 %
- Sentence Extractor< 1 %
- RegEx Filter< 1 %
- Unique Term Extractor< 1 %
CSV Reader< 1 %- Nominal Value Row Filter< 1 %
Excel Reader (XLS)< 1 %Table Reader< 1 %- Hierarchical Clustering< 1 %
String To Number< 1 %XLS Reader< 1 %- Keygraph Keyword Extractor< 1 %
- Tika Parser< 1 %
- CSV Reader< 1 %
- Sorter< 1 %
- Statistics< 1 %
- DF< 1 %
- Modifiable Term Filter< 1 %
- Stanford Lemmatizer< 1 %
Dictionary tagger< 1 %- Scorer< 1 %
- Column Aggregator< 1 %
Color Appender< 1 %- Math Formula< 1 %
- Term Co-Occurrence Counter< 1 %
- Topic Extractor (Parallel LDA)< 1 %
- NGram Creator< 1 %
- N Chars Filter< 1 %
Abner tagger< 1 %- Normalizer< 1 %
Table Column to Variable< 1 %- Concatenate< 1 %
- Domain Calculator< 1 %
- Column Filter< 1 %
- Reference Row Filter< 1 %
- Rule Engine< 1 %
- IDF< 1 %
- Case Converter< 1 %
- Stop Word Filter< 1 %
- POS Tagger< 1 %
- Document Data Extractor< 1 %
- Document Vector< 1 %
- Strings to Document< 1 %
- String to Term< 1 %
- Tags to String< 1 %
- Term to String< 1 %
- Math Formula (Multi Column)< 1 %
- Punctuation Erasure< 1 %
- CSV Writer< 1 %
- Column Renamer< 1 %
Variable to Table Column< 1 %Database Reader< 1 %Row Splitter (deprecated)< 1 %- Pivot< 1 %
Excel Reader (XLS)< 1 %- String Matcher< 1 %
- Snowball Stemmer< 1 %
Recursive Loop End< 1 %- Constant Value Column< 1 %
- Index Query< 1 %
- Value Filter (legacy)< 1 %
- Table View (JavaScript)< 1 %
- Column Rename (Regex)< 1 %
- Duplicate Row Filter< 1 %
- Top k Row Filter< 1 %
- StanfordNLP Open Information Extractor< 1 %
- Abner Tagger< 1 %
Twitter Streaming (legacy)< 1 %- Twitter Timeline (legacy)< 1 %
- Twitter Users (legacy)< 1 %
- XPath< 1 %
- Feed Parser< 1 %
- Tagged Document Viewer< 1 %
Loop End< 1 %- k-Means< 1 %
- Regression Predictor< 1 %
Concatenate (Optional in)< 1 %- Column Resorter< 1 %
Joiner< 1 %Column Rename< 1 %- Crosstab< 1 %
- TimeDelay Loop End< 1 %
- ICF< 1 %
- Dictionary Tagger< 1 %
Column Appender< 1 %Linear Correlation< 1 %- Double to Integer< 1 %
- String Replacer< 1 %
- Renderer to Image< 1 %
- Item Set Finder (Borgelt)< 1 %
- Dictionary Filter< 1 %
- Kuhlen Stemmer< 1 %
- Tag Stripper< 1 %
- Document Grabber< 1 %
- Wildcard Tagger< 1 %
- StanfordNLP NE Tagger< 1 %
- Joiner< 1 %
- Term Neighborhood Extractor< 1 %
- Python Script (legacy)< 1 %
Table Row To Variable Loop Start< 1 %Table Writer< 1 %- Java Snippet< 1 %
- Group Loop Start< 1 %
- Cluster Assigner< 1 %
- Decision Tree Predictor< 1 %
- SMOTE< 1 %
- Numeric Binner< 1 %
- Cell Splitter By Position< 1 %
- Filter Apply< 1 %
- Partitioning< 1 %
- Row Sampling< 1 %
- Ungroup< 1 %
- Rule-based Row Splitter< 1 %
- Empty Table Switch< 1 %
- Java Snippet (simple)< 1 %
- Term Document Entropy< 1 %
- Category to Class< 1 %
- Markup Tag Filter< 1 %
- Number Filter< 1 %
- Porter Stemmer< 1 %
- Replacer< 1 %
- Flat File Document Parser< 1 %
- PDF Parser< 1 %
- Column Filter (legacy)< 1 %
- Twitter Search (legacy)< 1 %
- Load text-based files< 1 %
Graph Density Uncertainty Scorer< 1 %- Wait...< 1 %
- Create File Name (legacy)< 1 %
Table Row to Variable< 1 %- Image to Table< 1 %
Loop End (2 ports)< 1 %- Column List Loop Start< 1 %
Variable Loop End< 1 %- X-Aggregator< 1 %
- Fuzzy c-Means< 1 %
- Hierarchical Cluster Assigner (local)< 1 %
- MDS< 1 %
- SOTA Predictor< 1 %
- Association Rule Learner< 1 %
- Auto-Binner< 1 %
Cell Replacer< 1 %Cell Splitter< 1 %Number To String< 1 %- String to Number< 1 %
- Column Merger< 1 %
- Column to Grid< 1 %
- Missing Value Column Filter< 1 %
- Nominal Value Row Splitter< 1 %
String To Number (PMML)< 1 %- Rank< 1 %
- Number Rounder< 1 %
- Set Operator< 1 %
- Table Transposer< 1 %
- Numeric Outliers< 1 %
- End IF< 1 %
- IF Switch< 1 %
CASE Switch Data (Start)< 1 %- Conditional Box Plot (legacy)< 1 %
- Extract Color< 1 %
- ROC Curve (legacy)< 1 %
- Amazon Comprehend (Key Phrases)< 1 %
- Amazon Comprehend (Syntax Tagger)< 1 %
- One Row to Many< 1 %
- Model to Cell< 1 %
- NG Visual Clusterer (beta)< 1 %
- Association Rule Learner (Borgelt)< 1 %
Read Excel Sheet Names (XLS)< 1 %- Diacritic Remover< 1 %
- PubMed Document Parser< 1 %
- RSS Feed Reader< 1 %
OpenNLP NE tagger< 1 %Oscar tagger< 1 %- Oscar Tagger< 1 %
StanfordNLP NE tagger< 1 %- Document Vector Applier< 1 %
- Document Vector Hashing< 1 %
- ROC Curve (JavaScript)< 1 %
Python Script (1⇒1)< 1 %- R Snippet< 1 %
- GET Request< 1 %
- Twitter Followers Search (legacy)< 1 %
- Twitter Post Tweet (legacy)< 1 %
XML Reader< 1 %- RDKit Interactive Table< 1 %
- String Similarity< 1 %
- Variable to Table Row< 1 %
- Table Reader< 1 %
- Naive Bayes Predictor< 1 %
- SVM Predictor< 1 %
- Cell Splitter< 1 %
- Missing Value< 1 %
- Extract Table Spec< 1 %
- PMML Predictor< 1 %
- Column Filter Configuration< 1 %
- Image Output (legacy)< 1 %
Views
- Tagcloud
- Displays the terms in a table tagcloud view.
Workflows
01_Data_API_Using_REST_NodesKNIME Hub- 01_Data_API_Using_REST_NodesKNIME Hub
- 01_RESTノードを使用したデータAPIKNIME Hub
- 01_RESTノードを使用したデータAPIKNIME Hub
- 01_Twitter_meets_PostgreSQLKNIME Hub
- Show all 48 workflows
Links
Developers
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