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TAPoR Text Analysis Portal for Research

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McGill Characterization Process - Alias Identifier

Part of the McGill Characterization Process family. Examines all the texts in a data directory and uses the output from the Character Parser to pick out all the aliases for the characters in the aforementioned texts. Output is in JSON format and is required for the rest of the tools in this family. Extensive setup required. Please consult the readme on github for setup instructions.

Rated 0.0 out of 5.

Natural Language Processing

McGill Characterization Process - Character Parser

Part of the McGill Characterization Process family. Parses all the texts in a data directory and picks out all the characters and their aliases. Output is in JSON format and is required for the rest of the tools in this family. Extensive setup required. Please consult the readme on github for setup instructions.

Rated 0.0 out of 5.

Collaboration

Zenodo

Zenodo is a catch-all repository for research data. It accepts all research data, with no requirements on format, size, access restrictions, or license. It is intended to support storage, curation, and publication of big research data. It was developed by the OpenAIRE partner CERN, responding to a request by the European Commission to create an open catch-all repository for all EC funded research.

Rated 0.0 out of 5.

Analysis

YouTube Comment Scraper

This free web-based tool allows you to scrape the comments from a YouTube video and save them in either a JSON or CSV format. The project is open source, and its code is available on github.

Rated 0.0 out of 5.

Twitter Archiver (TWARC)

twarc is a command line tool and Python library for archiving Twitter JSON data. Each tweet is represented as a JSON object that is exactly what was returned from the Twitter API. Tweets are stored as line-oriented JSON.

Rated 0.0 out of 5.

Warc Extractor

A simple command line tool for expanding warc files. Warc files are archives of webpages, as provided by the Internet Archive. Input is warc files and output can either be a warc file or as faithful a recreation of the website(s) contained within the warc file as can be managed.

Rated 0.0 out of 5.

Visualization

Complex Sentiment Analysis

Code from an iPython notebook, based on: http://nealcaren.web.unc.edu/an-introduction-to-text-analysis-with-python-part-3/ This notebook shows how to conduct sentiment analysis on a collection of passages (e.g. Tweets) using dictionaries of positive and negative words.

Rated 4.0 out of 5.

Visualization

MyIndicators

MyIndicators (http://myindicators.net/) is a digital, easy-to-use tool allows researchers, educators, students or anyone, to build their own tailored indicators (e.g. goals, strategies, parameters, survey, questions, calories intakes, alcohol consumptions or quantified self in terms of training, mood tracking or sleeping quality etc.) The tool can be used for data collection, data storage, data analysis, data visualisation and export data (excel spreadsheet format). Easier to detect the trend and keep track based on the visualisation and using real time data. There are free useful ready-made templates available for personal use. Besides research, education and quality industries, MyIndicators can be used by anyone who wishes to improve performance, achieve personal goals, promote healthy habits or gain personal insights. Educational and students discounts are available.

Rated 0.0 out of 5.

Visualization

Onodo

Onodo is a user friendly tool for doing basic visualisation and analysis within a browser making it cross-platform right out of the box. Data can be entered via their intuitive, in-browser node and edge creation tables or imported from a file. As data is added it is instantly previewed and displayed. The visual appearance can be tweaked on the fly and customised in a variety of ways (including applying a unique image or URL to each node). Once created, visualisations can be embedded and shared outside of the Onodo browser environment. Moreover, with a click of a button, Onodo calculates standard network parameters such as betweenness, closeness and displays these values within the table. It calculates and demonstrates basic network parameters and measures quickly and allows for the creation of chapters that cement using the visualisation as a data-driven narrative device.

Rated 0.0 out of 5.

Capture

jotform

Jotform allows users to create web forms (for surveys, etc.) using a drag-and-drop interface.

Rated 0.0 out of 5.