Text Summarization and Sentiment Analysis: Novel Approach

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Figure 5.

Research Paper

The research study on text summarization and sentiment visualization appeared in:

http://thesai.org/Publications/ViewPaper?Volume=9&Issue=8&C …

Cite the Work

Please mention the following research study paper:

Siddhaling Urolagin, “Sentiment Analysis, Visualization and Classification of Summarized News Articles: A Novel Approach” in International Journal of Advanced Computer Science and Applications (IJACSA), Volume 9 Issue 8, pp. 616-625, August 2018.

Further Projects and Contact

For further reading and other jobs please check out

Dr. Siddhaling Urolagin,

Department of Computer Science

BITS Pilani, Dubai Campus, Academic City

Dubai, United Arab Emirates

www.researchreader.com

Figure 5. 3D surface for the compound sentiment score.

The 3D scatter plot for the sentiment of the news articles is produced. Figure 6 shows the 3D scatter plot for 20 football news articles. Each point in 3D space represents the number of negative sentiment words, the number of positive sentiment words and the number of neutral sentiment words. Moreover, based on the compound score the sentiment of the article is considered as positive (Blue) when the compound score is greater than zero, negative (Red) when the score is less than zero and neutral (Green) when the score is zero. This scatter plot shows the distribution of sentiment of the news articles.

Figure 6. 3D scatter plot for football news articles.

Given a number of articles, the top ten words are selected with most positive and negative sentiments. Figure 7 shows the top ten positive sentiment words in 20 football articles. Figure 8 depicts the top ten negative sentiment words in those articles. Each word in the pie chart also shown with sentiment score along with its contribution to top ten words.

Figure 7. Top ten positive sentiment words.

Figure 8. Top ten negative sentiment words.

Research Paper

The research on text summarization and sentiment visualization appeared in:

http://thesai.org/Publications/ViewPaper?Volume=9&Issue=8&C…

Cite the Work

Please cite the following research paper:

Siddhaling Urolagin, “Sentiment Analysis, Visualization and Classification of Summarized News Articles: A Novel Approach” in International Journal of Advanced Computer Science and Applications (IJACSA), Volume 9 Issue 8, pp. 616-625, August 2018.

Further Projects and Contact

For further reading and other projects please visit

Dr. Siddhaling Urolagin,

Department of Computer Science

BITS Pilani, Dubai Campus, Academic City

Dubai, United Arab Emirates

www.researchreader.com

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