Are relevant keywords automatically selected by FTM? How?
FTM automatically selects the most relevant words keywords include both common and rare words based on the software algorithm. The software uses a lemmatizer to reduce a word to its base form before counting frequency. The software also removes stop words (e.g., of, at, no, not, on, etc.) that may impact the map results. The algorithm that determines the most relevant keywords uses the following guidelines: • 1. Counts the number of times a word appears within each answer • 2. Counts the number of times a word appears across all answers • 3. Calculates an occurrence and proximity ratio for every word compared to all words • 4. Weighs all occurrence ratios to determine the keywords used for the analysis Each text is associated with a list of keywords which determine: • 1. Keywords that will be located at the center of the map (those coming first in the lists) • 2. Keywords that will appear in the next layers (those coming later in the lists) • 3. Keywords that will appear on the periphe
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