![]() Here are just some of the key similarities between both platforms: “I’ve taken a deep dive into both Hootsuite and Zoho Social to provide a comprehensive comparison and help businesses choose the right tool for their needs.”īoth Hootsuite and Zoho Social offer a variety of common features that are typical for social media management tools. “As a marketer, I’ve faced the same challenges as any business trying to conquer the social media universe,” says Becky. ![]() ![]() Though they may seem very similar on the surface, there are some feature differences to bear in mind when selecting which tool to go for.” “In the realm of social media management, Hootsuite and Zoho Social have both established themselves as notable contenders. To help you make an informed choice for your business needs, we sent our very own Marketer, Becky, on a secret mission, to test out these two rival platforms. So, it is no surprise that social media management software has emerged as a powerful business tool to manage all your accounts efficiently. If a name is commonly found to be a name for both a male or female, Hootsuite classifies the gender as ‘unknown.Social media has become an integral part of our lives, and businesses have also recognised the importance of having a strong social media presence, but managing multiple platforms and audiences can be time-consuming and stressful. Hootsuite determines gender by comparing the author name to a database of names, then classifying it using common patterns. How does Hootsuite Analytics determine gender? However, it may be classified as negative based on pattern-matching.Īnalytics analyzes mentions and predicts sentiment in 18 languages: Arabic, Chinese, Danish, Dutch, English, French, German, Hebrew, Italian, Japanese, Korean, Norwegian, Polish, Portuguese, Russian, Spanish, Swedish, and Turkish. For example, "This drug can be deadly if overdosed" is a neutral statement when used in a medical context. In certain industries, a general detection set may not match new data with accuracy, especially for sentiment. The software uses pattern-recognition to classify data by matching it to existing patterns. Algorithms are built by analyzing a sample of millions of comments and replies that have been categorized for language and sentiment. The accuracy of data returned from language and sentiment classification algorithms varies. How does Hootsuite Analytics determine sentiment? ![]()
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