Text mining and sentiment analysis through support vector machine of online contents posting
Sandeep Kumar Singh, Santosh Kumar, Shweta Dwivedi, Nitesh Singh Bhati · 2025
Arguably the foremost popular platforms both blogging as well as emotion expression is Twitter, which also offers an extensive text extraction library. Those tweets occasionally reveal sentiments that reach out to a single of their nice aspects. The reasoning for asking for something is comparable to creating an equation which will undoubtedly be performed. Twitter messages could be either beneficial or detrimental, depending on the client’s perspective or the terms of the request. Our theory would be that through the application of AI technologies, we end up attaining excessive legitimacy about describing the sentiment of Twitter tweets. The Support Vector Machine (SVM) technique will next be used to classify the acquired twitter data The words (post) extraction approach can be applied to extend the twitter data categorization findings in order to recognize the relevant objective viewpoint.