Describing Your Emotion from Text
Developing a model to classify persons' expression through their statements by LSTM's Method with 90% accuracy from its own modeling data .
Data Analyst and Scientist
Medium Writer
Universe Data
Universe Data is one of the independent data insight media which refers to the data population, where it consists of several informants data, whether animate or inanimate objects, which are related to based on the research . The purposed of Universe Data Website is providing some insight data and problem solving which has been estimated by statistical conventional and modern approaching.
Me
Hello I'm Chandra Parashian Napitupulu, you can call me Chandra. I'm so passionate about analyzing data, prepocessing data, building the model, and providing some interpretations of the data visualization based on the model which is obtained. Besides that, I can work in a team or independently
Theses are some projects I've completed so far
Developing a model to classify persons' expression through their statements by LSTM's Method with 90% accuracy from its own modeling data .
Analyzing and classifying the employee performance whether they are well or not well performance by Boosting-BLSMOTE as Building the modeling also giving some interpretation about factors analysis based on the model has been provided through SHAP Value has been obtained
Analyzing and developing the data visualization from all users' COVID-19 posts based on their sentiments through Python as analysis and visualization tools
This topic gives some several explanations or illustrations the public opinion regarding the recession public in 2023
Dashboard Visualization provides for presenting data in a visual form to make it easier to understanding and analyzing. These are some dashboards data which has been developed
Providing the prediction of poverty line in West Java based on 13 factors which has been found and its factors will be estimated to analyze those factors by SHAP values based on its own model
Building a dashboard visualization of revenue and number of passengers data from the taxi activity in New York City
Serving an interactive data visualization based on comprehensive sentiment analysis from 2022 to the end of 2023. This link will navigate to its analysis