bigrams

Build unigram and bigram language models, implement Laplace smoothing and use the models to compute the perplexity of test corpora.

Typing Assistant provides the ability to autocomplete words and suggests predictions for the next word. This makes typing faster, more intelligent and reduces effort.

Next Word Prediction using n-gram Probabilistic Model with various Smoothing Techniques

Opinion mining for provided data from various NLTK corpus to test/enhance the accuracy of the NaiveBayesClassifier model.

Data from a corpus of written Hawaiian

Jupyter Notebook for Natural Language Processing learning

An Implementation of Bigram Anchor Words algorithm

A Go n-gram indexer for natural language processing with modular tokenizers and data stores

The goal of this script is to implement three langauge models to perform sentence completion, i.e. given a sentence with a missing word to choose the correct one from a list of candidate words. The way to use a language model for this problem is to consider a possible candidate word for the sentence at a time and then ask the language model which version of the sentence is the most probable one.

(UNMAINTAINED)Fetch comments from the given video and determine sentiment towards the video is positive or negative

Predicting next word with Natural Language Processing. Being able to predict what word comes next in a sentence is crucial when writing on portable devices that don't have a full size keyboard. However the same techniques used in texting application can be applied to a variety of other applications, for example: genomics by segmenting DNA, sequences speech recognition, automatic language translation or even as one student in the course suggested music sequence prediction.

Sentiment Analysis / Opinion Mining for provided data in NLTK corpus using NaiveBayesClassifier Algorithm

A text mining analysis about requests to information access to São Paulo municipality in 2018

CSCI 59000 BIG DATA ANALYTICS PROJECT

Testing & learning different nlp and lex techniques

Performance evaluation of sentiment classification on movie reviews

Este é um programa de inteligência artificial simples para prever a próxima palavra baseada em uma string informado usando bigramas e trigramas baseados em um arquivo .txt. Existem dois códigos, um usando console e outro usando o tkinter.

Assigmnents of CL

UNB Fall-2018 NLP Assignments 💬

Indonesian Language Model (Ngrams & Shannon Visualization) in CodeIgniter

A context-sensitive, one-edit distance spelling corrector

bigram using python language, menggunakan kalimat berbahasa indonesia

Word Segmentation on strings with no spaces.

[draft] phonological unigrams and bigrams

Sentimental Analysis for Amazon Book Reviews

Simply because ... one word won't do

Various small application based projects to help me understand Machine Learning and Natural Language Processing Algorithms.

ВоГУ. ТЯПиМТ. ЭПИ-11м. 2017