Twitter Sentiment Analysis
Twitter Sentiment Analysis
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This project is aimed to predict sentiment of a tweet
This project is aimed to predict sentiment of a tweet
and classify it as ‘positive’, ‘negative’ or ‘neutral’.
and classify it as ‘positive’, ‘negative’ or ‘neutral’.
The figure above shows Word Cloud of tweets with the sentiment label of “positive”. The distribution of label in training data can also act as a useful tool to visualise the data. Ideally, in multi-class classification problem like we have, a uniform distribution of data is ideal. The distribution of label in our dataset in percentages is represented by using bar graph as shown above.
The figure above shows Word Cloud of tweets with the sentiment label of “positive”. The distribution of label in training data can also act as a useful tool to visualise the data. Ideally, in multi-class classification problem like we have, a uniform distribution of data is ideal. The distribution of label in our dataset in percentages is represented by using bar graph as shown above.
The classification is performed by finding the hyper-plane that differentiate the two classes as shown in the plot above.
The classification is performed by finding the hyper-plane that differentiate the two classes as shown in the plot above.
roles and responsibilities
roles and responsibilities
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