Dear Members,

I need more information about sentiment analysis from social media, especially to collect data. Thank you for your kind information. 

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Sentiment analysis in socal media helps people to know how people feel about a particular thing be it a product, item,movie and feel can be positive, negative, neutral depending on the parameters you have etc. It is also categorised under NLP.

We have various tool and libraries in python to scrape data from different social media site you can either use the official api of the site you can get this on the site of the social media site or unofficial method to scrape data but you have to go patiently through github to know how to use this method by searching for the kind of scraper you want .

Everything mentioned above still boils down to how far you are willing to go to get your project done cos we have  different ways of doing what you intend to do you just have to find best way out that is fast and easy for you to comprehend.

Here are some of tools and libraries i use :

Facepager for Facebook a desktop application 

Twitterscaper a python library 

Selium used for automation 

Beautifulsoup python library etc

Thank you very much. Basically, I am not good in programming. Have you proposed the software doing sentiment analysis for person like me?  I am in accounting major and very love to do research multidisciplinary.

I suggest you to follow an online course before doing the analysis. And here you will find the tools which can be used to done sentiment analysis. https://blog.hubspot.com/service/sentiment-analysis-tools

Instagram is a popular social network and there is a cool one who has a lot of subscribers, you may seem cooler than you are if you have a lot of subscribers. When I wanted to impress a girl, I bought myself Instagram followers on Buzzoid. It was easy and not expensive, but at the same time I was able to get to know her because she decided that I am popular and there are many girls.

The first step is understanding the difference between structured and unstructured data. Tweets, facebook updates, and other social media posts are unstructured data, since they typically need to be analyzed for keywords and other factors in order to quantify user sentiments. More on the distinction here

Very interesting. Thanks!


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