WNAffect is a python package to get the emotion of a word using WordNet resources.
This package requires NLTK, WordNet 1.6 (UNIX-like) and WordNet-Domains 3.2.
WARNING: In the wn-domains-3.2/wn-affect-1.1/a-hierarchy.xml file, you should correct simpathy by sympathy.
WordNet is a lexical resource database for the English language. WordNet Domains 3.2 is a XML resource providing a set of emotional words organized in a tree:
┌physical-state
├behaviour
├trait
├sensation
├situation┐
│ └emotion-eliciting-situation
├signal┐
│ └edonic-signal
root┤
│ ┌cognitive-state
│ ├cognitive-affective-state
└mental-state┤
│ ┌mood
└affective-state┤
│ ┌emotionlessness
│ ┌apathy┤
│ │ └neutral-languor
│ ┌neutral-emotion┤
│ │ └neutral-unconcern┐
│ │ │ ┌distance
│ │ └indifference┤
│ │ └withdrawal
│ │ ┌thing
│ │ ├pensiveness
│ │ ├gravity┐
│ │ │ └earnestness
│ │ ├ambiguous-fear┐
│ │ │ └reverence
│ │ │ ┌ambiguous-hope
│ │ ├ambiguous-expectation┤
│ │ │ └fever┐
│ │ │ └buck-fever
│ ├ambiguous-emotion┤
│ │ │ ┌unrest
│ │ │ ├tumult
│ │ ├ambiguous-agitation┤
│ │ │ │ ┌electricity
│ │ │ └stir┤
│ │ │ └sensation
│ │ └surprise┐
│ │ │ ┌surprise
│ │ │ ├stupefaction
│ │ └astonishment┤
│ │ └wonder┐
│ │ └awe
│ │ ┌gratitude┐
│ │ │ └gratefulness
│ │ ├levity┐
│ │ │ └playfulness
│ │ ├positive-fear┐
│ │ │ └frisson
│ │ ├fearlessness┐
│ │ │ └security┐
│ │ │ └confidence
│ │ ├positive-expectation┐
│ │ │ └anticipation┐
│ │ │ └positive-suspense
│ │ │ ┌self-esteem
│ │ ├self-pride┤
│ │ │ ├amour-propre
│ │ │ └ego
│ │ │ ┌attachment
│ │ │ ├protectiveness
│ │ ├affection┤
│ │ │ ├soft-spot
│ │ │ └regard
│ │ │ ┌gusto
│ │ │ ├exuberance
│ │ ├enthusiasm┤
│ │ │ └eagerness┐
│ │ │ └enthusiasm-ardor
│ │ │ ┌hopefulness
│ │ │ ├encouragement
│ │ ├positive-hope┤
│ │ │ └optimism┐
│ │ │ └sanguinity
│ │ │ ┌placidity
│ │ │ ├coolness
│ │ ├calmness┤
│ │ │ │ ┌peace
│ │ │ └tranquillity┤
│ │ │ └easiness┐
│ │ │ └positive-languor
│ │ │ ┌worship
│ │ │ ├love-ardor
│ │ │ ├amorousness
│ │ │ ├puppy-love
│ │ │ ├devotion
│ │ ├love┤
│ │ │ ├lovingness┐
│ │ │ │ └warmheartedness
│ │ │ ├benevolence┐
│ │ │ │ └beneficence
│ │ │ └loyalty
│ ├positive-emotion┤
│ │ │ ┌amusement
│ │ │ ├exuberance
│ │ │ ├happiness
│ │ │ ├bonheur
│ │ │ ├gladness
│ │ │ ├rejoicing
│ │ │ ├elation┐
│ │ │ │ └euphoria
│ │ │ ├exultation┐
│ │ │ │ └triumph
│ │ │ │ ┌bang
│ │ │ ├exhilaration┤
│ │ │ │ └titillation
│ │ ├joy┤
│ │ │ ├contentment┐
│ │ │ │ │ ┌satisfaction-pride
│ │ │ │ │ ├fulfillment
│ │ │ │ └satisfaction┤
│ │ │ │ ├complacency┐
│ │ │ │ │ └smugness
│ │ │ │ └gloat
│ │ │ │ ┌comfortableness
│ │ │ ├belonging┤
│ │ │ │ └closeness┐
│ │ │ │ └togetherness
│ │ │ │ ┌hilarity
│ │ │ ├merriment┤
│ │ │ │ ├jollity
│ │ │ │ └jocundity
│ │ │ │ ┌buoyancy
│ │ │ └cheerfulness┤
│ │ │ └carefreeness
│ │ │ ┌fondness
│ │ │ ├captivation
│ │ │ ├preference┐
│ │ │ │ └weakness
│ │ │ ├approval┐
│ │ │ │ └favor
│ │ │ ├admiration┐
│ │ │ │ └hero-worship
│ │ └liking┤
│ │ │ ┌kindheartedness
│ │ │ ├compatibility
│ │ ├sympathy┤
│ │ │ ├empathy┐
│ │ │ │ └identification
│ │ │ └positive-concern┐
│ │ │ └softheartedness
│ │ │ ┌amicability
│ │ └friendliness┤
│ │ ├brotherhood
│ │ └good-will
└emotion┤
│ ┌ingratitude
│ ├daze
│ │ ┌self-depreciation
│ ├humility┤
│ │ └meekness
│ │ ┌commiseration
│ │ ├tenderness
│ ├compassion┤
│ │ └mercifulness┐
│ │ └forgiveness
│ │ ┌hopelessness
│ │ ├resignation┐
│ │ │ └defeatism
│ ├despair┤
│ │ ├pessimism┐
│ │ │ └cynicism
│ │ └discouragement┐
│ │ └despair-intimidation
│ │ ┌conscience
│ │ ├self-disgust
│ ├shame┤
│ │ │ ┌self-consciousness
│ │ │ ├shamefacedness
│ │ │ ├chagrin
│ │ └embarrassment┤
│ │ ├discomfiture
│ │ ├abashment
│ │ └confusion
│ │ ┌discomfiture
│ │ ├distress
│ │ ├negative-concern
│ │ ├anxiousness
│ │ ├insecurity
│ │ ├edginess
│ │ ├sinking
│ │ ├scruple
│ ├anxiety┤
│ │ │ ┌stewing
│ │ │ ├tumult
│ │ ├negative-agitation┤
│ │ │ └fidget┐
│ │ │ └impatience
│ │ ├solicitude
│ │ ├anxiousness
│ │ ├angst
│ │ └jitteriness
│ │ ┌alarm
│ │ ├creeps
│ │ ├horror
│ │ ├hysteria
│ │ ├panic
│ │ ├scare
│ │ ├stage-fright
│ │ ├fear-intimidation
│ │ ├negative-unconcern┐
│ │ │ └heartlessness┐
│ │ │ └cruelty
│ ├negative-fear┤
│ │ │ ┌trepidation
│ │ │ ├negative-suspense
│ │ │ ├chill
│ │ ├apprehension┤
│ │ │ │ ┌shadow
│ │ │ └foreboding┤
│ │ │ └presage
│ │ │ ┌shyness
│ │ └timidity┤
│ │ │ ┌hesitance
│ │ └diffidence┤
│ │ └unassertiveness
└negative-emotion┤
│ ┌disinclination
│ ├unfriendliness
│ ├antipathy
│ ├disapproval
│ ├contempt
│ ┌dislike┤
│ │ │ ┌repugnance
│ │ ├disgust┤
│ │ │ └nausea
│ │ └alienation┐
│ │ └isolation
├general-dislike┤
│ │ ┌abhorrence
│ │ ├misanthropy
│ │ ├misogamy
│ │ ├misogyny
│ │ ├misology
│ │ ├misopedia
│ │ ├murderousness
│ │ ├despisal
│ │ ├misoneism┐
│ │ │ └misocainea
│ │ │ ┌maleficence
│ │ ├malevolence┤
│ │ │ ├vindictiveness
│ │ │ └malice
│ ├hate┤
│ │ │ ┌animosity
│ │ │ ├class-feeling
│ │ │ ├antagonism
│ │ │ ├aggression
│ │ │ ├belligerence┐
│ │ │ │ └warpath
│ │ └hostility┤
│ │ │ ┌heartburning
│ │ │ ├sulkiness
│ │ │ ├grudge
│ │ └resentment┤
│ │ │ ┌covetousness
│ │ └envy┤
│ │ └jealousy
│ │ ┌infuriation
│ │ ├umbrage
│ │ ├huffiness
│ │ ├dander
│ │ ├indignation┐
│ │ │ └dudgeon
│ │ │ ┌wrath
│ │ ├fury┤
│ │ │ └lividity
│ └anger┤
│ │ ┌pique
│ │ ├frustration
│ ├annoyance┤
│ │ ├displeasure
│ │ ├harassment
│ │ └aggravation
│ │ ┌irascibility
│ └bad-temper┤
│ └fit
│ ┌dolefulness
│ ├misery
│ ├forlornness
│ ├weepiness
│ ├downheartedness
│ ├cheerlessness┐
│ │ └joylessness
│ │ ┌gloom
│ ├melancholy┤
│ │ ├world-weariness
│ │ └heavyheartedness
└sadness┤
│ ┌attrition
│ ┌regret-sorrow┤
│ │ │ ┌guilt
│ │ └compunction┤
│ │ └repentance
├sorrow┤
│ │ ┌self-pity
│ │ ├grief┐
│ │ │ └dolor
│ └lost-sorrow┤
│ │ ┌woe
│ └mournfulness┤
│ └plaintiveness
│ ┌demoralization
│ ├helplessness
│ ├dysphoria
└depression┤
├oppression┐
│ └weight
└despondency┐
└blue-devils
(printed using pptree)
The WNAffect python package allows to find the emotion of a given word and to navigate in the tree.
This package contains two classes: WNAffect and Emotion. These two classes are described below.
The WNAffect object allows to load WordNet 1.6 and Word Domains 3.2 resources.
This is the constructor of a WNAffect object. It needs the paths to WordNet 1.6 and WordNet Domains 3.2.
wordnet16_dirthe wordnet-1.6 folderwn_domains_dirthe wn-domains-3.2 folder- Returns the WNAffect object
Example:
wna = WNAffect('wordnet-1.6/', 'wn-domains-3.2/')This function returns the emotion of a given word.
wordthe wordposthe part-of-speech tag of the word. You can get the part-of-speech tag using a third party library such as NLTK. The tag should be one of the Pen Treebank tag set.- Returns an Emotion object
emo = wna.get_emotion('angry', 'JJ')If you use WordNet in your own project, you can directly get the emotion of a synset using this function.
offsetWordNet offset of the synset- Returns: an Emotion object
Example:
emo = wna.get_emotion_synset(5574157)The Emotion object is a node of the emotion tree. If the Emotion object is a leaf, it wraps the conception on a emotion. Otherwise, it represents a category of emotions.
namethe name of the emotion or category of emotionparentthe parent Emotion in the treelevelthe level of the node in the treechildrenthe array of children nodes
The Emotion class also contains a static dict Emotion.emotions containing the emotion names as keys and the emotion objects as values.
Notice that Emotion implements __str__. Indeed, print(emo) is equivalent to print(emo.name).
Searches in the parent nodes the emotion at the given level.
levelthe level to look for- Returns the Emotion object at the given level
Example:
parent = emo.get_level(emo.level - 1)Count the number of all the children from the current Emotion to the leaves.
- Returns the number
Example:
n = emo.nb_children()You should instantiate WNAffect before calling this static function.
Prints the tree of emotions from the given node to the leaves.
emotion: the emotion to print from. If not provided, the method prints the whole tree.
Example:
Emotion.printTree(Emotion.emotions["annoyance"])Output:
┌pique
├frustration
annoyance┤
├displeasure
├harassment
└aggravation
(printed using pptree)
To import WNAffect package:
>>> from wnaffect import WNAffect
>>> from emotion import Emotion # if neededThe first step is to instantiate a WNAffect object to load the resources
>>> wna = WNAffect('wordnet-1.6/', 'wn-domains-3.2/')Then, you can get the emotion of a word using the get_emotion function. This function requires the part-of-speech tag. You can get the part-of-speech tag using a third party library such as NLTK.
>>> emo = wna.get_emotion('angry', 'JJ')
>>> print(emo)
angerWhat is the parent emotion?
>>> parent = emo.get_level(emo.level - 1)
>>> print(parent)
general-dislikeAnd the root emotion?
>>> root = emo.get_level(0)
>>> print(root)
rootLet's print all the parent emotions:
>>> print(' -> '.join([emo.get_level(i).name for i in range(emo.level + 1)]))
root -> mental-state -> affective-state -> emotion -> negative-emotion -> general-dislike -> angerHow many children has the annoyance emotion?
>>> annoyance = Emotion.emotions["annoyance"]
>>> annoyance.nb_children()
5Let's print them:
>>> Emotion.printTree(annoyance) # WNAffect should have been instantiated previously
┌pique
├frustration
annoyance┤
├displeasure
├harassment
└aggravation