Sentiment Analysis of 3 Different News Agency’s Reports on “Coronavirus World Economic Impact”
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Updated
Oct 12, 2020 - R
Sentiment Analysis of 3 Different News Agency’s Reports on “Coronavirus World Economic Impact”
Text mining project built using shiny dashboard and R to understand what drives students of San Francisco to the movie theaters.
Scripts para generar datos e informe del peritaje para la causa CDH-35-2021/011 de la Corte Interamericana de Derechos Humanos
An Analysis of the tech review and customer feedback on twitter, provided an insight into what the customers seek from Apple’s iPhone Series.
Exploring and Predicting Sentiments of Wagner's Ring Cycle (in prog)
Using tf_idf statistics to determine how important a word is to a document in a collection of documents
A Survey on ML Techniques for Airbnb Price Prediction
Developing a speech-enabled toy - R
Predicted geo-location of 80,000 tweets based on just its contents by finding Location Indicative Words and achieved 74% accuracy
Analysing Airbnb guests' reviews using text mining and sentiment analysis.
Text analysis of the Participatory Public Accounts of the management of Gendarmería de Chile between the years 2017 and 2020.
Keyword extraction in R using a modified term frequency–inverse document frequency algorithm
Data analytics project in R to create a predictive model for the detection of objectivity in sports articles, based on co-training.
I use various techniques for analyzing the Stanford Congressional Records. Specifically, we will be looking at
stress detection in social networks
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