I have seen a couple online but they are not cheap, can someone with an access run some analysis for me? or links to a free or open source one? I am open to collaborative research that i am doing that requires this analysis as well.
Have you retrieved the posts already or you are yet to do so?
You can use python or R for the sentiment analysis.
Linguist Inquiry and Word Count (LIWC) 22 offers budget friendly options for those in academic that have a short window to conduct their analyses. However, if you conduct a significant amount of sentiment analysis work, it may be worth investing in this tool.
https://liwcsoftware.onfastspring.com/
- IBM Watson: IBM Watson offers a powerful sentiment analysis tool that can help you identify the sentiment of social media posts. It can also be integrated with other tools for deeper insights.
- Hootsuite Insights: Hootsuite Insights is a social listening tool that allows you to monitor social media conversations and track sentiment across multiple platforms. It can provide real-time insights and customizable reports.
- Brandwatch: Brandwatch is a social listening and analytics platform that provides sentiment analysis and other advanced analytics features. It can be used to track sentiment across multiple social media platforms and identify trends and patterns.
- Lexalytics: Lexalytics is an AI-powered sentiment analysis tool that can analyze large volumes of social media data and provide insights into the sentiment of social media posts. It can also be customized to suit your specific needs.
- Google Cloud Natural Language: Google Cloud Natural Language is a powerful sentiment analysis tool that can analyze text from social media posts and other sources. It can identify the sentiment of the text and provide insights into the underlying emotions and opinions.
Thanks for sharing your ideas and insights ! Rahul Jain Rajeev Arora George Shaw Jr Maxim Vengerov
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Good morning, it is possible to conduct sentiment analysis on R (software totaly free).
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