{"id":10553,"date":"2021-11-11T15:20:59","date_gmt":"2021-11-11T14:20:59","guid":{"rendered":"https:\/\/careerfoundry.inbearbeitung.de\/en\/?p=10553"},"modified":"2023-08-30T19:01:17","modified_gmt":"2023-08-30T17:01:17","slug":"sentiment-analysis","status":"publish","type":"post","link":"https:\/\/careerfoundry.inbearbeitung.de\/en\/blog\/data-analytics\/sentiment-analysis\/","title":{"rendered":"A Complete Guide to Sentiment Analysis"},"content":{"rendered":"

“That movie was a colossal disaster… I absolutely hated it! Waste of time and money #skipit”<\/strong><\/p>\n

“Have you seen the new season of XYZ? It is so good!”<\/strong><\/p>\n

“You should really check out this new app, it’s awesome! And it makes your life so convenient.”<\/strong><\/p>\n

By reading these comments, can you figure out what the emotions behind them are? <\/span><\/p>\n

They may seem obvious to you because we, as humans, are capable of discerning the complex emotional sentiments behind the text. <\/span><\/p>\n

Not only have we been educated to understand the meanings, intentions, and grammar behind each of these particular sentences, but we’ve also personally felt many of these emotions before and, from our own experiences, can conjure up the deeper meaning behind these words. <\/span><\/p>\n

Moreover, we’re also extremely familiar with the real-world objects that the text is referring to.<\/span><\/p>\n

This doesn’t apply to machines, but they do have other ways of determining positive and negative sentiments! How do they do this, exactly? By using sentiment analysis.
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\n<\/span>In this article, we will discuss how a computer can decipher emotions by using sentiment analysis methods, and what the implications of this can be. If you want to skip ahead to a certain section, simply use the clickable menu:<\/span><\/b><\/p>\n

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  1. What is sentiment analysis?<\/a><\/li>\n
  2. How does sentiment analysis work?<\/a><\/li>\n
  3. Sentiment analysis use cases<\/a><\/li>\n
  4. Machine learning and sentiment analysis<\/a><\/li>\n
  5. Advantages of sentiment analysis<\/a><\/li>\n
  6. Disadvantages of sentiment analysis<\/a><\/li>\n
  7. Key takeaways and next steps<\/a><\/li>\n<\/ol>\n

    1. What is sentiment analysis?<\/span><\/h2>\n

    With computers getting smarter and smarter, surely they\u2019re able to decipher and discern between the wide range of different human emotions, right? <\/span><\/p>\n

    Wrong\u2014while they are intelligent machines, computers can neither see nor feel any emotions, with the only input they receive being in the form of zeros and ones\u2014or what\u2019s more commonly known as binary code.<\/span><\/p>\n

    However, on the other hand, computers excel at the one thing that humans struggle with: processing large amounts of data quickly and effectively. So, theoretically, if we could teach machines how to identify the sentiments behind the plain text, we could analyze and evaluate the emotional response to a certain product by analyzing hundreds of thousands of reviews or tweets. <\/span><\/p>\n

    This would, in turn, provide companies with invaluable feedback and help them tailor their next product to better suit the market\u2019s needs. So, what kind of process is this? Sentiment analysis!<\/span><\/p>\n

    Sentiment analysis, also known as <\/span>opinion mining<\/b>, is the process of determining the emotions behind a piece of text. Sentiment analysis aims to categorize the given text as positive, negative, or neutral. <\/span><\/p>\n

    Furthermore, it then identifies and quantifies subjective information about those texts with the help of:<\/span><\/p>\n