Mosharrof Rubel's video: Some NLP Terms you need to know

Some Natural Language Processing(NLP) Terms you need to know to work in. NLP Section : [rubel007cse] Tokenizer ; break a sentence into words String Distance ; Jaro–Winkler distance is a string metric for measuring the edit distance between two sequences. String Matching ; Levenshtein algorithm Stemmers : Porter Stemming ; Its main use is as part of a term normalisation process Classifiers ; Bayes’ probability theorem, well performing models, especially in the fields of document classification and disease prediction. Phonetics ; Phonetic matching (sounds-like) matching can be done with the SoundEx, Metaphone vs DoubleMetaphone algorithms. Inflectors ; pluralized/singularized ; Present Tense Verbs Tries ; Tries are a very efficient data structure used for prefix-based searches. Ex: finding ‘text’ from ‘texter’ EdgeWeightedDigraph ; represents a digraph, you can add an edge, get the number vertices, edges, get all edges and use toString to print the Digraph. ShortestPathTree ; ShortestPathTree represents a data type for solving the single-source shortest paths problem in edge-weighted directed acyclic graphs (DAGs). POS Tagger ; This is a part-of-speech tagger based on Eric Brill's transformational algorithm. Transformation rules are specified in external files. var sentence = ["I", "see", "the", "man", "with", "the", "telescope"]; console.log(JSON.stringify(tagger.tag(sentence))); // Output [["I","NN"],["see","VB"],["the","DT"],["man","NN"],["with","IN"],["the","DT"],["telescope","NN"]]