alihan/twitter-sentiment-visualisation

mirror of https://github.com/Lissy93/twitter-sentiment-visualisation.git synced 2021-05-12 19:52:18 +03:00

Files

History

Alicia Sykes 076f4ed6ba Delete index.md

2017-09-30 00:15:32 +01:00

..

Uploaded pitching presentation

2016-05-18 10:38:56 +01:00

Added screenshots

2016-05-18 14:37:03 +01:00

Wireframe page

2016-02-29 15:06:05 +00:00

build-environment.md

Wrote documentation for build process

2015-09-22 19:20:43 +01:00

dictionary-vs-machine-sa.png

Uploaded results from the research surveys

2016-05-18 11:29:54 +01:00

high-level-data-flow.png

High level overview of data flow

2016-05-18 14:30:06 +01:00

installation-instructions.md

Added links to where you can get API keys

2017-04-21 13:04:36 +01:00

LICENSE.md

Details about the MIT License

2016-03-16 10:12:38 +00:00

methodology-frontend.md

Frontend methodology

2016-02-29 14:58:19 +00:00

project-introduction.md

Wrote quick into to project

2016-05-18 10:53:59 +01:00

project-risks.md

Uploaded documentation on potential risks and the SDLC

2016-05-18 14:29:40 +01:00

readme.md

Documentation Index

2016-05-18 17:44:49 +01:00

references.md

Uploaded results from the research surveys

2016-05-18 11:29:54 +01:00

research-1-sa-current-uses.md

Uploaded results from the research surveys

2016-05-18 11:29:54 +01:00

research-2-sa-comparison.md

Uploaded results from the research surveys

2016-05-18 11:29:54 +01:00

sdlc.md

Uploaded documentation on potential risks and the SDLC

2016-05-18 14:29:40 +01:00

stack.png

The Stack

2016-05-18 11:29:32 +01:00

story-points.md

Removed extra coloumn in complexity estimates

2016-05-18 10:44:46 +01:00

test-strategy.md

Added Phantomjs into the test strategy

2015-09-24 20:10:52 +01:00

user-stories.md

Added complexity estimates for each story

2016-05-18 10:42:29 +01:00

readme.md

Documentation

Project Information

Project Introduction

Addressing Potential Risks

System Development Life Cycle

Project Planning

Complexity Estimates

Methodology - frontend

Development Documentation

Installation Instructions

Build Environment

Research

The current sentiment analysis scene

Comparison of various sentiment analysis algorithm approaches