naive_approach

This directory contains the functions necessary to run the Naive Approach.

Prerequisites:

the file emoji_descriptions_preprocessed.csv has to be located in the specified folder ../Tools
pandas has to be installed

For testing, import naive_approach.py and execute the following commands:

prepareData(stem, lower)
- preprocesses the emoji descriptions and returns a dictionary with the indexed emojis
- parameters:
  - stem: Apply stemming (default=True)
  - lower: Apply lowercasing (default=True)
predict(sentence, lookup, emojis_to_consider, criteria, lang, embeddings, n=10, t=0.9)
- evaluates an input sentence and returns a list of predicted emojis
- parameters:
  - sentence: Input sentence (required parameter)
  - lookup: dictionary with emoji data (return value of prepareData, required parameter)
  - emojis_to_consider: set of emojis to include in prediction, or "all" (default="all")
  - criteria: criteria to evaluate the values of the description - message matching.
    - options: "sum", "mean", "max_val", "threshold" (default: "threshold")
  - lang: language to use (default: "eng")
  - embeddings: word embeddings
    - options: "wordnet", "word2Vec", "fastText", default: "wordnet"
  - n: number of top ranked emojis to return (default=10)
  - t: threshold for the "threshold" criteria (default=0.9)