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Resentment (also called ranklement or bitterness) is a complex, multilayered emotion that has been described as a mixture of disappointment, disgust and anger. Other psychologists consider it a mood or as a secondary emotion (including cognitive elements) that can be elicited in the face of insult or injury.
The analysis highlights Applications, Causes and Philosophical perspectives as prominent areas in the source structure around Resentment.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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The extracted context around Resentment shows recurring relationship patterns in the source. For example, Resentment → Both Nietzsche, Douglas, English, French, German, Lawrence, Norman Douglas, Other, Scheler, Sociologist Zygmunt Bauman, The, We, While Another extracted example is Resentment → He, Heraclitus, Max Scheler, Nietzsche, Philosopher Robert, Ressentiment, Rousseau's, Rousseau-esque Romanticism, Scheler, Solomon, We. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
anger also person emotion feelings emotions resentful past way one injury situations individual negative others values present including spite experience
TTTA extracted 66 structured relationships around Resentment. Examples in this analysis include Resentment → is a → perception of unfairness and Resentment → is a → obstacle to the restoration of equal moral relations among persons.Resentment and spite also share a connection of self-harm. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Resentment | is a | perception of unfairness | 0.90 | text |
| Resentment | is a | obstacle to the restoration of equal moral relations among persons.Resentment and spite also share a connection of self-harm | 0.90 | text |
| Resentment | is a | defensive way to mentally punish | 0.90 | text |
| accepting negative treatment without voicing any protest | instance of | Common sources of resentment include publicly humiliating incidents | 0.80 | text |
| anger | instance of | physical expressions associated with related emotions | 0.80 | text |
| envy may be exhibited | instance of | physical expressions associated with related emotions | 0.80 | text |
| such as furrowed brows or bared teeth.Resentment can be self-diagnosed by looking for signs such as the need for emotion regulation | instance of | physical expressions associated with related emotions | 0.80 | text |
| faking happiness while with a person to cover true feelings toward them | instance of | physical expressions associated with related emotions | 0.80 | text |
| or speaking in a sarcastic or demeaning way to or about the person | instance of | physical expressions associated with related emotions | 0.80 | text |
| Resentment | has cause | Common | 0.60 | section |
| Resentment | has cause | Thus | 0.60 | section |
| Resentment | related to Alcoholism and bigotry | Alcoholics Anonymous | 0.60 | section |
The concept neighborhoods around Resentment bring nearby vocabulary together. In this analysis, examples include Person, Past and Way. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Resentment, one of the stronger structural bridges in this analysis connects Resentment with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Resentment to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Applications, Causes & Philosophical perspectives, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Resentment · EN edition · Analysis: TopicsToTalkAbout