46 Free Social Media Monitoring Tools to Improve Your Results

by Priit Kallas · Published December 20, 2016 · Updated December 20, 2016

Research market opportunities abroad to understand your potential.

Customers abroad are interested in what you’re selling. They’re searching for your products, doing research about what you offer, and looking for the types of things that you have. Interest exists, but important questions remain. How much interest is out there? And where are the most interested people?

Google provides multiple tools that can help you answer these questions:

Insights from your own site and accounts: to understand how you might connect with users based on what you’ve already done

• Google Analytics
• AdWords Keyword Planner
• Display Planner

General marketing trends: to help understand how different markets behave online and how that fits in with what you want to achieve and what you can realistically accomplish

• Consumer Barometer
• Global Market Finder
• Display Benchmarks Tool

Cultural trends: to help understand what different markets care about and what they respond to

• Google Trends
• YouTube Trends Dashboard

These tools will help you gauge your potential across Search, Display and Video. You can then generate a list of new markets that hold the most promise for you.

Index

QR Codes
Surveys and Polls
Online Whiteboards/Corkboards
PDF Tools
Charts
Word Clouds
Maps
Schedule
Reference (dictionary/thesaurus/concordance/corpus/citation)
Calculators/Converters
Documents (webpages/text/paste/view)
Annotation
Stories (create/read)
Chat/Conferencing
Presentation
Audio
Screencapture (image/video)
Video (view/edit/create)

Stanford computer scientists have created a website that gives anyone who can cut and paste the ability to answer such questions, systematically and for free.

The website is known as etcML, short for Easy Text Classification with Machine Learning.

Machine learning is a field of computer science that develops systems that give computers the ability to acquire new understandings in a more human-like way.

The etcML website is based on machine-learning techniques that were developed to analyze the meaning embodied in text, then gauge its overall positive or negative sentiment. To access this computational engine, users drag and drop text files into a dialog box.

“We wanted to make standard machine learning techniques available to people and researchers who may not be able to program,” said Richard Socher, a doctoral candidate in computer science at Stanford and lead developer of etcML.

Socher said the new site gives researchers and citizen activists in fields ranging from political science to linguistics an easy way to analyze news articles, social media posts, closed-caption transcripts of television newscasts and other texts of possible interest.

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