Reid  Rohan

Reid Rohan

1656934391

Twitter Sentiment Visualisations

Twitter Sentiment Visualisations

A web app that uses data from Twitter combined with sentiment analysis and emotion detection to create a series of data visualisations to illustrate the happy and less happy locations, topics and times.

Introduction

This project aims to make Twitter data more understandable. It streams real-time tweets, or can fetch tweets about a specific topic or keyword - it then analyses this data using a custom-written sentiment analysis algorithm, and finally displays the results with a series of dynamic D3.js data visualisations.

The aim of the app is to allow trends to be found between sentiment and other factors such as geographical location, time of day, other topics...

It has a wide range of uses, from analysing the effectiveness of a marketing campaign, to comparing two competing topics.

Screen Shots

As part of the documentation there is one shot of each screen in it's current state. View screen shots here

Below is a sample of the 12 key screens. Overview of screenshots

Modules

Several open source node modules have been developed and published on npm as part of this project

Project Planning

Running Locally

Prerequisites - You will need Node.js, MongoDB and git installed on your system. You will also need Gulp and Bower, which (once node is installed) you can install by running npm install gulp bower -g. Also Yarn is recommended.

Get the files - git clone https://github.com/Lissy93/twitter- sentiment-visualisation.git then navigate into it with cd twitter-sentiment-visualisation

Install dependencies - yarn will install the npm node_modules, then should automatically kick off a bower install (if not, then just run it manually). If you are developing, you will need to use npm install in order to get the devDependencies too.

Set Config yarn run config will generate the config\src\keys.coffee file, which you will then need to populate with your API keys and save. Also check that your happy with the general app config in config/src/app-config.coffee.

Build Project - yarn run build will compile the project, from the source.

Start MongoDB - mongod will start a MongoDB instance (run in separate terminal instance). See instructions: Starting a MongoDB instance.

Run the project - Run yarn start then open your browser and navigate to http://localhost:8080

View detailed installation instructions

To run the tests: npm test or see the more test strategy

To run in development mode, use yarn run dev. This will use dev environmental variables, and also will watch for changes, lint, compile and refresh automatically.

Automated Development Workflow

TSV uses the Gulp streaming build tool to automate the development workflow.

The key tasks you need to run are:

  • gulp generate-config - before first-time running of the project, run this command to generate configuration files for your API keys
  • gulp build - This will build the project fully, this includes cleaning the working directory and then all tasks that must happen for CoffeeScript, JavaScript, CSS, images, HTML and Browserify tasks.
  • gulp nodemon - Runs the application on the default port (probably 8080)
  • gulp test - This will run all unit and coverage tests, printing a summary of the results to the console and generating more detailed reports into the reports directory.
  • gulp - this is the default task, it will check the project is configured correctly, build ALL the files, run the server, watch for changes, recompile relevant files and reload browsers on change, and keep all browsers in sync, when a test condition changes it will also re-run tests - a lot going on!

To read more about the project setup and gulp process, see build environment in the docs

Test Strategy

Twitter Sentiment Visualisation follows the TDD approach and is structured around it's unit tests.

To run tests: npm test

Testing Tools

More details on each of the tools and how they will be implemented along with the pass and fail criteria can be found on the test strategy page of the documentation.

The Stack

This project wouldn't have been possible at all without making use of many many open source packages, libraries, frameworks etc..

I would like to personally thank the hundreds of developers who have worked on open source packages like these.

There is an extensive stack of technologies that were used to develop the final application. The following list is a summary of the key utilities:

The Stack

Documentation

Project Information

Project Introduction

Addressing Potential Risks

System Development Life Cycle

Licence


Project Planning

User Stories

Complexity Estimates

High Level UML

Methodology - frontend

Test Strategy


Development Documentation

Installation Instructions

Build Environment

Testing


Research

The current sentiment analysis scene

Comparison of various sentiment analysis algorithm approaches

References


Read more about the application here.

The application is fully documented, which can be viewed here

Live Application

A live demo of the application has been deployed to: http://sentiment-sweep.com

Author: Lissy93
Source Code: https://github.com/Lissy93/twitter-sentiment-visualisation 
License: 

#javascript #d3 #datavisualisation 

What is GEEK

Buddha Community

Twitter Sentiment Visualisations

Desmond Ivana

1595225473

Features incorporate in your Twitter clone script

Twitter is a microblogging website that allows users to share their opinion, facts, and so on via tweets. People can follow their favourite celebrities and other famous personalities on the Twitter app. They will receive tweets they have posted in their feeds. At present, Twitter has over 100 million active users and 500 million tweets are shared daily. While investing in Twitter clone app, make sure that it has the following features:

Pin tweets

Users can gain more attention to a particular tweet by pinning the tweet on top of their profiles. Whenever people visit your page, pinned tweets will be visible to them. It is one of the best strategies to get more attention to blogs, business, promotional products & services, and many more.

Twitter moments

Twitter moments are curated stories and posts that belong to specific categories. Users post content related to an event like a music concert, theatre play, and so on. This Twitter clone script feature brings more followers to the users’ accounts.

Notifications

Users get alerts whenever new content is posted by the followers, upcoming features, for important events, etc. They can also customize the category which they receive as alerts like they can mute from certain followers according to their preference.

Create photo collages

Photos are an essential part of any social networking site, and the Twitter app clone is no exception. Users can create a collage with a maximum of four photos during tweeting through this photo collage feature.

Appdupe offers the best Twitter clone script that is customizable and white-labeled. The Twitter clone is scalable, so it is viable for future advancements. Twitter is both a unique and popular social media website, so purchase a high-end clone app from us and become successful with your business venture.

#twitter clone #twitter clone app development #radar twitter clone script #twitter clone script #best twitter clone script #twitter clone app

Desmond Ivana

1597301184

Stand-apart Features Worth Integrating Into A Twitter Clone App

Social networking sites are topping the charts both in user engagements and revenue. Among the top-grossing platforms, apps like Facebook, Twitter, Instagram, etc., occupy a firm and commendable position. With almost 80% of the Internet users establishing a social media presence, entrepreneurs needn’t hesitate to invest in a Twitter Clone App.

However, with so many social media apps sprouting up, there’s a need for the app to be unique and attractive. Users expect stand-apart features in an app like Twitter. It is pointless to expect users to switch from the existing app to the new one unless it offers specific advantages. In this blog, let’s discuss the cutting-edge features that can make an impact on the audience.

  • In-app chat: What’s a social media app when people cannot establish a connection with their social community. Most of the social media apps fail to integrate this feature.
  • Multi-lingual support: A social community must transcend across the world. Language shouldn’t be a barrier for people to establish connections. Hence, integrating a multi-lingual support system can help a Twitter clone establish a global presence.
  • Categorized newsfeed: People expect personalized content from a social media platform. With this feature, people can categorize their newsfeed to their preferred topics, making the platform more reliable.
  • Refresh feature: Users get annoyed with the app if it displays the same content in the newsfeed every time. To avoid this inconvenience, a refresh feature can ensure that users access new content in their feed.
  • Real-time stats: Users need to know if their content has made an impact with the fellow users. Real-time stats are a great way to enable users to know their stats and impact.

Wrapping up,
The best Twitter clone script must inevitably include these features. Ensure that you integrate these features into your Twitter clone to ensure your social media platform’s success.

#twitter clone #twitter clone app development #radar twitter clone script #twitter clone script #best twitter clone script

Desmond Ivana

1596181032

Top 5 amazing features of Twitter clone script

Twitter is one of the widely used apps with some of the most attractive features. The uniqueness of the app captures more attention of users. People make use of Twitter to post trending information and follow their favourite celebrities and personalities. Developing a Twitter clone would be a great choice, as there are no other apps that resemble this popular social media platform. Here are some of the remarkable features one should incorporate into a Twitter clone.

Quote a Tweet: One of the most used aspects of Twitter is retweets with comments. To do that, users can click the retweet icon in the app then select the person you want to retweet. A retweet is used to appreciate one’s tweet and agrees with them.

Create lists: Users can create a list with people they often chat or view. These lists appear on a separate tab so that users can check it as and when they require it. These lists can be changed to the public or private view.

Tagging users: If a particular tweet is related to the users, they can be tagged in the tweet. So once the tweet goes live, the tagged members are notified.

Pining tweet: Users can pin tweets in the Twitter clone app, and then it will appear on top of the profile. People usually use this feature to gain more attention to a particular link or tweet.

Website cards: Users can post links as images through these web card features. Other users are navigated to the connected website when they click on it.

Get the Twitter script form Appdupe and become the next trending app in the market. The Twitter clone app development includes all the advanced features that users look for in social media apps.

#twitter clone #twitter clone app development #radar twitter clone script #twitter clone script

Franz  Becker

Franz Becker

1618489260

Simple Twitter Search Tricks for Developers

ey, guys, there is a huge community of developers on Twitter. So, it’s just essential and cool to know some Twitter search tricks. All the search

tricks mention here are amazing and important for you.

#html #twitter #twitter-search #twitter-search-tricks #search

Adrienne  Hane

Adrienne Hane

1602641983

Twitter Sentiment Analysis in Python

Sentiment analysis is one of the most common tasks in Data Science and AI. In this article, we will use Python, Tweepy and TextBlob to perform sentiment analysis of a selected Twitter account using Twitter API and Natural Language Processing.

Introduction

We will use Twitter to perform sentiment analysis of the written text. We will use Twitter in this example but this can be also used in a business context to analyse different social media accounts, reviews of your company, reviews of your products and services, analysing support tickets, emails or free text from surveys to get an idea of the mood that is coming from people engaging with you and your business online.

What will you learn?

You will learn how to perform basic sentiment analysis using TextBlob; powerful Natural Language Processing library for Python. We will also use the WordCloud library to visualise some of our findings and we will also work with a Twitter API. Familiarizing with APIs is a useful skill for data scientists. It is a very common method of getting hold of the data from the internet.

Problem definition

Our task is to analyse the Tweets of an individual Twitter account in terms of Subjectivity and Polarity. We will identify individual tweets as positive, negative and neutral and calculate the percentage of positive tweets. We will use the WordCloud library to display a word cloud of the most positive words from the tweets.

#data-science #twitter #nlp #python #sentiment-analysis