The following guidelines will help you determine the meaning of Topic-Topic associations:
- A >0.70 usually indicates a definitional relationship (i.e., between awesome/amazing, or screen/display). If two terms are not synonymous or very close in meaning and have a score this high, this is extremely significant.
- A >0.20 and <0.70 association score is often where the most interesting findings lie in a project. This is where you should focus your attention in any project. These topics are significantly highly related.
- A >0.0 and <0.20 association score tells that these two topics are slightly or weakly related.
- A <0.0 association score (or negative association score) indicates that two topics are unrelated to one another in your dataset.
NOTE: Negative association scores do NOT infer negative sentiment.
Here are useful rules for determining the meaning of Topic-Subset associations:
- Topic-Subset association scores generally fall within a smaller range that is closer to 0.0 than Topic-Topic association scores. They often fall between -0.30 to 0.30. Scores that are much higher or lower than this range are extremely significant.
- Topic-Subset association scores have less variance from one another compared to Topic-Topic association scores. A 0.05 point differential between two topic-subset association scores is meaningful and interesting. Differences less than 0.05 scores between two Topic-Subset association scores should be evaluated with some caution as they may be influenced by varying sample size (or document volume) of each subset or topic.