Sentiment analysis or opinion mining refers to the application of

Sentiment analysis or opinion mining refers to the application of natural language processing, computational linguistics, and text analytics to identify and extract subjective information in source materials.

Generally speaking, sentiment analysis aims to determine the attitude of a speaker or a writer with respect to some topic or the overall contextual polarity of a document. The attitude may be his or her judgment or evaluation (see appraisal theory), affective state (that is to say, the emotional state of the author when writing), or the intended emotional communication (that is to say, the emotional effect the author wishes to have on the reader).

A basic task in sentiment analysis is classifying the polarity of a given text at the document, sentence, or feature/aspect level — whether the expressed opinion in a document, a sentence or an entity feature/aspect is positive, negative, or neutral. Advanced, “beyond polarity” sentiment classification looks, for instance, at emotional states such as “angry,” “sad,” and “happy.”

(See http://en.wikipedia.org/wiki/Sentiment_analysis)

TASK:

Use BRAND24 to semantically analyze text words –important words you discovered from your data collected over the course of the semester from reviews and blogs for consumer insight. You will be able to complete this basic assignment by using the demo on the BRAND24 home page.

https://brand24.com/features/

1. Create an account on BRAND24, and a login, Password.
2. Think clearly about your data and select important words (FOUR or FIVE, including your BRAND) you discovered from your data collected over the course of the semester from reviews and blogs for consumer insight. For example.
3. Click NEXT, SELECT ENGLISH LANGUAGE.
4. Then perform the analysis.
5. Output will look like this……
6. Filter data for positive or negative sentiment and examine text of Social Media items to look for elements of positive or negative that might inspire changes to your strategy.
7. Process text.
8. Take screen shots and embed them into your typed analysis of your “text”.
9. What is your opinion about your product/service/object and what needs to be corrected?. What is your opinion about YOUR BRAND and what needs to be corrected? Include any screen shots/key charts from the analysis that justify your conclusions. Don’t merely cut and paste your screen shots. Use in your dialog – refer to it – what does it add to your analysis?

1. What is your opinion about YOUR BRAND and what needs to be corrected? Include any screen shots/key charts from the analysis that justify your conclusions. Don’t merely cut and paste your screen shots. Use in your dialog – refer to it – what does it add to your analysis?

2 What understanding did you gain about YOUR BRAND and its competitors? Include any screen shots/key charts from the analysis that justify your conclusions. Don’t merely cut and paste your screen shots. Use in your dialog – refer to it – what does it add to your analysis?

3. What would you do to improve YOUR BRAND’S social media efforts based on these reports? Include any screen shots/key charts from the analysis that justify your conclusions. Don’t merely cut and paste your screen shots. Use in your dialog – refer to it – what does it add to your analysis?