| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| research proposal sentiment analysis | 2 | 0.6 | 8235 | 96 | 36 |
| research | 1.88 | 1 | 9973 | 89 | 8 |
| proposal | 1.96 | 0.7 | 3919 | 51 | 8 |
| sentiment | 1.03 | 1 | 5073 | 22 | 9 |
| analysis | 1.55 | 1 | 1076 | 75 | 8 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| research proposal sentiment analysis | 0.53 | 0.8 | 4352 | 26 |
Sentiment Analysis is the interpretation of the sentiments behind data in the form of text. It is the computational analysis of emotions and opinions towards a subject. It involves working out whether a piece of text is a positive negative or neutral. What is Sentiment Analysis?
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Is Twitter a genre for sentiment analysis?The corpus is manually labelled for subjectivity and sentiment analysis (SSA) ( = 0:816). In addition, the corpus is annotated with a variety of motivated feature-sets that have previously shown positive impact on performance. The paper highlights issues posed by twitter as a genre, such as mixture of language varieties and topic-shifts.
Can natural language pre-processing improve sentiment classification accuracy?Here, we investigate the use of natural language pre-processing techniques in a way to improve the sentiment classification accuracy of a classical bag of words approach. We use the linguistic features provided by part-of-speech tagging, text chunking and negation.
