With a ceaseless onslaught of intelligence data accumulating daily, including documents, social media postings, transcripts and more, government analysts and counter-terrorism experts struggle to find meaning and make connections. The Internet alone gives rise to thousands of social networks and other platforms for expression, written in hundreds of languages and local dialects. The ability to efficiently extract entities is critical, but understanding the opinions they hold is even more important.
That’s where sentiment analysis comes in.
What is Sentiment Analysis (a.k.a. Opinion Extraction)?
Sentiment analysis is one aspect of natural language processing (NLP) that has become increasingly refined over the past several years. Also known as opinion extraction or mining, sentiment analysis software looks at text to determine the polarity behind the writer’s statements. Advanced opinion extraction technology can define sentiments as positive, negative, or neutral, giving analysts a sense of the tone behind the text.
Using Sentiment Analysis in International Relations
With so much data to evaluate, online and off, governments need efficient ways to analyze and understand the opinions of international populations and their governing bodies. Opinion mining enables them to look at social media, blogs, websites, reviews, and other text documents to connect the dots across multiple platforms.
Sentiment analysis allows government officials to find and repair broken relationships, analyze public opinion, and discover potential threats to national security. Is an angry blogger dangerous, or is he or she just venting? Does the population of an enemy nation feel sympathetic toward members of a terrorist organization, or are they fearful? How do suspected members of ISIL feel about one another? This is the kind of knowledge that powers our intelligence agencies.
Opinion extraction tells us where to delve deeper. It allows us to come away with a better understanding of our allies and our enemies. And it enables us to make educated decisions about the relationships that we form at home and abroad.
A Multilingual Approach to Sentiment Analysis
Single-language sentiment analysis is virtually useless when it comes to international relations. The ability to extract entities and opinions across a wide spectrum of languages and dialects is crucial to developing a real understanding of the data being analyzed. Rosoka’s natural language processing tools have the power to search more than 230 languages – including non-Roman languages such as Arabic, Japanese, Chinese, and Russian.
Multilingual sentiment analysis is the best, most efficient option for counter-terrorism agencies and international relations experts. Whether you’re focused on building relationships or blocking threats, a thorough approach to opinion extraction should be used in approaching text documents, social network posts, blogs, emails, and websites. Delve deeper into your data with the most effective technology available today.
Contact us to learn more about how Rosoka’s multilingual, NLP software can help your agency better understand and manage international relationships.