nlp-lab/Project/naive_approach

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:

1. 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)

2. 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)