{"id":2752,"date":"2021-03-01T05:00:00","date_gmt":"2021-03-01T04:00:00","guid":{"rendered":"https:\/\/ellycode.com\/?p=2752"},"modified":"2021-03-01T12:40:08","modified_gmt":"2021-03-01T11:40:08","slug":"can-we-analyze-emotions-with-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/ellycode.com\/en\/blog-en\/can-we-analyze-emotions-with-artificial-intelligence\/","title":{"rendered":"Can we analyze emotions with Artificial Intelligence?"},"content":{"rendered":"\n

In recent years, thanks to the Internet, our opportunities to express opinions and make judgments has increased exponentially, in the form of both \u2018thumbs up\u2019 and longer reviews. Unlike cocktail hour banter, however, our comments do not float away but remain in digital storage forever<\/strong>. Is it possible to extract information, or even better, something of value from this amount of data?<\/p>\n\n\n\n

A few days ago a politician posted a farewell speech on a well-known social network that was commented on by over one hundred thousand users. Or think about a Youtube video by a pop group that can receive hundreds of millions of views but also millions of comments. It is inconceivable that a person, or even a team, could read all these comments and draw any conclusions from them<\/strong>. Is the politician still beloved? Did fans like the new song? Only an automatic analysis tool can provide these answers.<\/p>\n\n\n\n

Sentiment Analysis<\/strong><\/h2>\n\n\n\n

Sentiment Analysis is a calculation process that purposefully seeks to identify and categorize the opinions expressed in a text fragment. The main goal is to understand whether the author\u2019s attitude towards that particular subject is positive<\/strong>, negative, <\/strong>or neutral<\/strong>. This type of analysis, which got started as a field of natural language processing (NLP), is therefore specialized in interpreting and cataloging emotions<\/strong>.<\/p>\n\n\n\n

What are the possible usage scenarios? Sentiment Analysis is a great tool for analyzing product reviews, conducting market research, monitoring customer service or a social media account, and also managing the reputation of an organization or person.<\/p>\n\n\n\n

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But when using it for statistics, is it reasonable to think that the sample of people surfing the web is representative of the world, national, or local public opinion?<\/strong> Many companies and organizations think so and rely on this tool to guide their activities. So how do you conduct a sentiment analysis?<\/p>\n\n\n\n

Let’s start with the data: a sample of phrases, which could be tweets or reviews of any kind, and then use software libraries to conduct an analysis. The key steps to take are:<\/p>\n\n\n\n