This Mood App Analyzes the Emotional Sentiments in Social Media Posts
Cadhla Gray — September 23, 2015 — Lifestyle
References: twitter & techcrunch
This mood app provides a simplified way for people with mood disorders to track their feelings and cross-reference them with the weather. Allison Nelson created 'Hack My Mood' at the San Francisco Disrupt Hackathon, with the goal of creating a mental wellness tool that can help create happier and healthier lives.
This complex analytical app first tracks the sentiments in social media posts, like those on Twitter, using IBM Watson's Alchemy API. It then cross-references these emotions with corresponding weather patterns using Weather Underground. By analyzing this information together, one can better predict what weather patterns like temperature, rain or sunshine levels will bring a change in mood.
This mood app helps people track their emotions without relying on memory which can be inaccurate, instead using reliable data that can be referred to personally or for professional use with a doctor.
This complex analytical app first tracks the sentiments in social media posts, like those on Twitter, using IBM Watson's Alchemy API. It then cross-references these emotions with corresponding weather patterns using Weather Underground. By analyzing this information together, one can better predict what weather patterns like temperature, rain or sunshine levels will bring a change in mood.
This mood app helps people track their emotions without relying on memory which can be inaccurate, instead using reliable data that can be referred to personally or for professional use with a doctor.
Trend Themes
1. Mood Disorder-tracking Apps - Apps that track mood disorders and analyze data with other factors, such as weather patterns.
2. Social Media Sentiment Analysis - Analyzing social media to determine patterns in mood and sentiment, and using this information for mental wellness tools.
3. Big Data Analysis for Mental Health - Using large amounts of data to discover and analyze patterns in mood disorders and create personalized solutions.
Industry Implications
1. Healthcare and Wellness - Disruptive opportunity: Develop apps and tools that enable patients to efficiently and effectively track their mental health and share data with healthcare professionals.
2. Weather and Climate Science - Disruptive opportunity: Develop apps and tools that integrate weather and climate data with personal mental health tracking to help identify patterns and triggers in mood disorders.
3. Artificial Intelligence - Disruptive opportunity: Create new AI solutions that can more accurately analyze and predict patterns in mood disorders based on social media and other data.
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