Research project to measure the firm Expected Investment Growth (EIG) based on a combination of machine learning tools and text regression.
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May 3, 2021 - R
Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
Research project to measure the firm Expected Investment Growth (EIG) based on a combination of machine learning tools and text regression.
Computational literature review of water resources research in Latin America and the Caribbean.
In this project, we implemented the detection algorithm (D-3 in the folder: ''doc/paper'') and correction algorithm (C-3 in the folder: ''doc/paper'') for post-processing of OCR technique.
Sentiment Analysis on Demonetization tweets
textRec utlizes Latent Dirichlet Allocation and Jensen-Shannon-Divergence on the discrete probability distributions over LDA topics per document, in order to recommend unique and novel documents to specific users.
In this project, I analyzed the NLP data of all the pitches in 'Sharktank' and generated a model to predict the significance of keywords in getting a deal using Random Forest & Decision trees.
Content analysis automatization in engagement psychological surveys
This repo contains raw data and codes to construct a gender classifier based on the first name. Also, the link, files, and codes of a shiny app where you could use the model for inference purposes.
Assignments for STAT 3106 (Machine Learning, NLP, Sentiment Analysis)
a pre-processing functions used for text cleaning in R.
Sentiment Analysis of Tweets for a renowned shoe brand
This is a phrase net implemented as a Shiny application. A phrase net is a visualization tool that represents a text input as a graph.
Case Cientista de Dados - RankMyAPP
A review of supervised classification techniques in R categorizing short text news headlines
Project in R developing a restaurant review classifier that makes predictions as positive or negative integrated with a Rest API in Node.js.
Natural Language Processing to predict future words in text prediction app
Created by Alan Turing