# Analyzing the Effect of Negation in Sentiment Polarity of Facebook Dialectal Arabic Text
## 3 Materials and Methods
We also show that treating negation may lead to increase in classification performance as we as their usage in patterns discovery. Highest improvement achieved after treating negation was 20%. This work can be more expanded in the future work that can include resolving the following three issues:

1. **Odd negation**: More investigation is needed to find rules that can determine which patterns will flip their polarity when preceded by inverters. 2. **Fake inverters**: There are cases when applying the inverter without considering the nature of the targets will lead to incorrect classification. Such cases should be excluded when inverting the polarity of targets preceded by inverters. 3. **Complex Negation**: The Arabic language is complex by its nature, so there are many cases where negation is not trivially treated. Such cases include using exclusion words mentioned earlier. This work can also be applied to any corpus of data collected from any social network. Twitter has an API that allows researchers to collected posts. So, This work will also be applied to tweets from Twitter, and a comparison will be made with this work. Another possible extension of this work is to apply it to different languages, such as the French language, because it is the closest language to Arabic. **Author Contributions:** Literature, S.K., M.I. and C.R. ; Conceptualization, S.K, M.I. and C.R. ; Analysis, S.K., M.I. and C.R. ; Writing, S.K., M.I. and C.R. All authors have read and agreed to the published version of the manuscript. **Funding:** This research received no external funding. **Institutional Review Board Statement:** Not applicable. **Informed Consent Statement:** Not applicable. **Data Availability Statement:** Data is available on this link: [[https://shurda.shu.ac.uk/id/eprint/59/](https://shurda.shu.ac.uk/id/eprint/59/)]([https://shurda.shu.ac.uk/id/eprint/59/](https://shurda.shu.ac.uk/id/eprint/59/)) (access date 1 January 2021). **Conflicts of Interest:** The authors declare no conflict of interest. ## References

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