You can try use these tools:
Hootsuite Insights
It will come as no surprise that sentiment analysis tool of choice is Hootsuite Insights. Users can quickly and easily filter mentions and sort by sentiment. Users can also track sentiment by keywords and set up automated assignments by chosen keywords. Hootsuite Insights provides an overview of sentiment with an easy-to-read meter. This allows you to quickly see how your brand is doing from a sentiment point of view, and monitor for any changes.
Twitter Advanced Search
Twitter Advanced Search is a free online tool that helps you find Tweets based on sentiment.
To use Twitter Advanced Search as a sentiment analysis tool, enter your desired keyword and check the positive or negative box. Keywords you might want to start with include your brand’s name and product names, misspellings of your brand and product names, and your CEO’s name.
Searching for both positive and negative sentiment is important. Use Twitter Advanced Search to look for pain points your customers and audience might express. As we explain in our previous post How to Use Twitter Advanced Search for Lead Generation, “This gives you valuable insight into what direction your content strategy should take, as well as allows you to jump into conversations where people are having bad experiences or issuing complaints.”
Brandwatch
Brandwatch gives users access to insights and data from over 70 million traffic sources. Along with engagement and monitoring capabilities, you can quickly monitor the tone of posts and data being scanned. This allows you to analyze how certain content performs, and the types of reactions it receives.
Semantria
A Tweet reading ‘Great, thanks,’ when used sarcastically, could be perceived as positive sentiment due to the presence of the word ‘great.’
Semantria’s Lexalytics adds another layer to sentiment analysis. The tool recognizes the importance of every word in a sentence, and evaluates the sentiment based on this. Rather than evaluating each mention of your selected keyword on its own, Semantria looks at context of the post against related content, and compares results.
Rapidminer
Rapidminer uses a specialty text mining approach to help brands conduct sentiment analysis. With Rapidminer, unstructured content sources, such as online reviews and social media posts, are analyzed, along with structured sources such as official publications and documents. This allows you to identify areas for business growth, trends amongst your customers and consumers, and gather feedback from your product launches.
The more data you have about your audience and industry, the better chance of success you have. Using sentiment analysis tools allows you to evaluate the attitudes of your target consumers—attitudes that can make or break your brand’s reputation.
Use Hootsuite Insights to monitor the sentiment of your social media audience.
Dear Deepak Paudel, thanks for your complete guidance, it was excellent.
Dear Alejandro Ros-Gálvez thanks to you too for introducing such a useful tool, surprised. it also support persian language and it's great.
I wonder if you could use these references:
Books
1. Degene, A. Forse, M. (1999) Introducing Social Networks. Sage.
2. Hanneman, R. Introduction to Social Networks. Online resource: http://www.analytictech.com/networks.pdf
3. Scott, J. (2000) Social Network Analysis, Sage.
4. Carrington, P. J. J. Scott and S. Wasserman (eds) (2005) Models and Methods in Social Network Analysis. Cambridge: CUP.
5. Wasserman, s. and Faust, K. (1994) Social Network Analysis: Methods and Applications. CUP.
6. Brandes, U. Erlebach T. (2005) Network Analysis Methodological Foundations. Springer Verlag.
7. Freeman, L. (2004) The Development of Social Network Analysis: A study in the Sociology of Science. BookSurge Publishsing.
Watts, Duncan J. (1999). Small Worlds: The Dynamics of Networks between Order and Randomness. Princeton, NJ: Princeton University Press.
Dear Mahesh Marathe, Thanks for your complete guidance.
think these books could be necessary for being more with social networks research areas
Appreciate it.
Hi, my colleague's recommendation to me was ReaderBench. However, when I used it in my sentiment analysis exercise of diplomatic correspondence, human judgement performed better. It may be due to the specific nature of the text analysed. Meliha
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