( 20th June 2019 )
Sentiment analysis is the automated process of understanding an opinion about a given subject from written or spoken language. In a world where we generate 2.5 quintillion bytes of data every day, sentiment analysis has become a key tool for making sense of that data.Any trading. It is the result of human to human activities. The value of crypto currency is also influenced by people’s emotion. An important approach for the application of sentiment analysis is to determine the public opinion or sentiment about different crypto-currencies in SNS, twitters, Blogs and articles. Using sentiment analysis techniques on these information source, crypto-currencies reputation can be judged from the public point of view. In this time, I selected following data sources
Reddit
YouTube Comments
Twitter
Topic Identification (Text Categorization)
It is one of the important subtasks for sentimental analysis for crypto-currencies. Social media can contain data regarding multiple topics like sports, religion, and crypto-currency. Therefore first we need to short list the relevant data using topic identification techniques or text categorization. This categorization can be done using semantic or machine learning techniques. Some of the subtasks involve tokenization, Natural Language Processing (NLP) and inference.
Regarding Custom Positive & Negative Words List, to Senti-Wordnet we can create a custom list of positive and negative words for improving the sentiment score accuracy. For this we need to collect a list of words related to the crypto-currency domain.
About Sentiment Analyzer, after the identification of relevant data, each will be input into the sentiment analyzer. This sub-module will tokenize the provided input. Next for each token the sentiment will be calculated using the created positive and negative lists as well as the Senti-Wordnet. Next the sentiment score for each token will be added to calculate the overall sentiment of the given input.A flow diagram for the Sentimental Analysis has also been provided in this proposal document.
Then, Front End Designing. It is user interface need to be designed for the sentimental analysis tool. A web based user interface can be designed or a desktop application can be created.
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