Nocode functions 🔎
... or read below about what it does, and how it works:
The function takes one parameter (what is the language of the text?) and runs with one click:
The function identifies pairs of terms in each line of the text. These pairs are called co-occurrences. Aggregating all pairs of terms and selecting the most frequent ones, a network of terms is constructed where any two terms are connected if they often appear together in the text.
The principles followed by the tool are described in this academic publication studying how to find communities and topics on Twitter. The technology follows these steps:
Structure and format of the text: the network is created by detecting pairs of terms which appear on the same line of text. So you should be careful about how your text is split. Ideally, it should be made of relatively short paragraphs, each on one line. If you are using an Excel file, each paragraph or significant block of text should appear on a different row. Pre-processing of the text: there is no need to pre-process or clean your text before using this function. Exploring the graph: we recommend two free professional grade software for the exploration of the semantic network produced by the function. Gephi provides the best features to filter, colorize, resize and run descriptive graph statistics on your network (such as betweenness centrality). VOSviewer provides the visualizations which are the cleanest and easiest to interpret for semantic networks. VOSviewer is developed with scientometrics as first use case but it is useful for any kind of semantic network.
If your text is a list of co-occurrences or a list of items, you might want to use Gaze, a function dedicated to building networks from co-occurrences and similarities.