Create a test suite to allow for comparisons with other sentiment models.

[Kenneth Enevoldsen]

Create a series of tests to apply the model to for each of the languages.

When the test suite is done test the following models:

• Only lexicon (try with AFINNs also - not lemmatized)
• Tree-based negations
• POS-based negations

intended usage:

import asent
import spacy
from asent.benchmarks import benchmark


nlp = ...
nlp.add_pipe("asen...

grid = {"valence": [...],
            is_negated": [...]}

perf = benchmark(lang="da", grid)

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