Name: Tweet Sentiment Visualization App
Author: NC State University

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The Tweet Sentiment Visualization App is a software solution aimed at social media managers, marketing professionals, brand managers, market researchers, and business analysts. According to the vendor, this app provides valuable insights into the sentiment of tweets based on user-defined keywords. It offers a range of features to visualize and analyze tweet sentiment.

## Key Features

**Sentiment Visualization**: According to the vendor, the app visually represents tweets as circles positioned by sentiment, allowing users to understand the emotion contained in the tweet's text. Unpleasant tweets are shown as blue circles on the left, while pleasant tweets are represented as green circles on the right. Sedate tweets are drawn as darker circles at the bottom, and active tweets are displayed as brighter circles at the top.

**Topic Clustering**: The vendor claims that this feature enables users to easily identify and analyze trends and discussions related to specific subjects by grouping tweets about a common topic into topic clusters labeled with relevant keywords.

**Heatmap**: The vendor states that sentiment is divided into an 8×8 grid based on pleasure and arousal. Each grid cell is color-coded based on the number of tweets within it, providing a visual representation of sentiment distribution across different emotional levels.

**Tag Cloud**: According to the vendor, the app displays common words from emotional regions such as Upset, Happy, Relaxed, and Unhappy in a tag cloud. The size of each word represents its frequency in the tweets, allowing users to identify frequently used words associated with specific emotions.

**Timeline**: The vendor claims that the app displays tweets in a bar chart, showcasing the number of tweets posted at different times. Pleasant tweets are shown in green at the top of the chart, while unpleasant tweets are displayed in blue at the bottom, providing insights into the temporal distribution of sentiment in the tweet data.

**Map Visualization**: According to the vendor, the app plots tweets with geolocation information on a world map, allowing users to explore sentiment patterns across different regions and locations.

**Affinity Graph**: The vendor states that this feature visualizes frequent tweets, people, hashtags, and URLs in a graph, highlighting important actors and their relationships within the tweet set. It helps users identify key influencers and understand the connections between various elements in the tweet data.

**Narrative Threads**: According to the vendor, selecting an anchor tweet displays a time-ordered sequence of tweets forming conversations or narrative threads passing through the anchor tweet. Users can explore the context and progression of discussions related to specific tweets, providing valuable insights into the sentiment dynamics.

**Tweet List**: The vendor claims that the app provides a comprehensive list of tweets, including their date, author, pleasure, arousal, and text. Users can sort the list by different columns, allowing for detailed analysis and examination of individual tweets.

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At the most basic level, social monitoring incorporates scanning the web for potential PR crises, identifying industry trends, gathering intelligence on competitors and identifying sales opportunities. But the quantity of data these tools return can be overwhelming. Many tools have filters to help remove noise, and some include sentiment analysis which helps to categorize comments into positive or negative categories, but this is still a somewhat inexact science. 

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Tweet Sentiment Visualization App

Overview

What is Tweet Sentiment Visualization App?