GitHub / Ujjwal-Jaiswal-UJ / Sentiment-Analysis-on-PDF-file
The response pdf is neatly organized in a table format in PDF, contains 15 distinct questions and corresponding 106 student answers. Performed sentiment analysis on pdf by extracting the raw data from pdf and convert it into data frame for easy analysis. Then perform column wise and row wise sentiment analysis and shown the result along with graph
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ujjwal-Jaiswal-UJ%2FSentiment-Analysis-on-PDF-file
PURL: pkg:github/Ujjwal-Jaiswal-UJ/Sentiment-Analysis-on-PDF-file
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 577 KB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Topics: data-science, graph, jupyter-notebook, natural-language-processing, nlp-machine-learning, numpy, numpy-arrays, pandas, pandas-dataframe, pdf, pie-chart, pypdf2-library, sentiment-analysis, textblob-sentiment-analysis