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      Home TechNews AI & Big Data

      Influential AI-Based Tools For Sentiment Analysis

      THETECHMUSK by THETECHMUSK
      November 14, 2020
      in AI & Big Data, TechNews
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      Sentiment analysis becomes a new bone of understanding the consumer’s thoughts, choices regarding a business. Consequently, a business brings a good number of consumers with their products, services. Also, it is vital to understand why people are loving your products, services rather than what you are providing. To find these complex tools, factors that are inside of the human brain, never was an easy step to understand. Thanking goes to AI and machine learning that enable our thinking closer to the exact facts through sentiment analysis. It requires AI to study customer’s feedback.

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      Most importantly, sentiment analysis enhances a better understanding of displaying cumulative brand sentiment that supports the brand to monitor relevant trends easily.

      The more benefits it shares are-
      -Helping in lead generation
      -Testing business KPI’s
      -Exploring product decisions
      -Improving the customer-based experience
      -Monitoring keywords,
      and a lot more to add indeed.
      Transforming the negative experiences into good ones is an asset to this analysis.

      For helping the brands, there’s now available a lot of sentiment analytics tools. Let’s have a look at trending, influential some of them.

      Awario

      Awario is an audacious project that is a designable tool for social media intelligence and analytics since 2015. This web-based social listening tool provides sentiment analysis as soon as users sign in this tool. All the social media network, including news, blogs, forums also it covers. In Awario, 37 million mentions are delivered, and 13 billion web pages crawled daily. Apart from sentiment analysis, it is full of features such as boolean search, location-based monitoring, slack integrating, social listening API, topic cloud, etc. Till now, more than six thousand users have enjoyed their tools.

      Digimind

      With the motto of building innovative technologies helping their clients and turn all the scattered pieces of data into insights, Digimind started their journey 22 years ago. This sentiment analytics tool helps the brands and their monitors their social media presence. It can pull more than 850 million web resources for your business. Furthermore, this tool helps in getting a comprehensive view of sentiment regarding the brand. Adding, it improves the analysis mentions customizing the sentiment analysis system of that brand.

      Lexalytics

      Lexalytics makes state-of-the-art cloud and machine learning technologies that transform the text-based data into actionable insights. It processes billions of unstructured documents every day. Through natural language processing(NLP), it breaks the texts into sentences and evaluates elements like semantic and syntax. After that, it runs the sentiment analysis for measuring the feelings and sentiments behind the customer’s word.

      ADVERTISEMENT

      Hootsuite Insight

      With the features of automatically analyzing all social media platforms, blogs, forums, etc., Hootsuite Insight presents you the insights that include influencers, trends, sentiments, and all other factors. Also, getting in touch with experts and access to the broadest set of partners, and integrations in the industry, delivering value to your brand through insights at a large scale, you can have in this tool.

      ADVERTISEMENT
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      Conclusion

      How sharper a brand is in building awareness, how much they have got brand-reputation, etc., come perfectly with sentiment analytics tools in measuring these. Finally, this analytics includes customer satisfaction levels, the opinions that potential customers have. As a result, sentiment analysis has brought an enormous way open for the establishment of a brand.

      Tags: AI-based analysisAI-based toolsartificial intelligenceawariodigimindemotional AIemotional intelligencehootsuite insightlexalyticssentiment analysis
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