Online English Summarizer tool, free and accurate!
Risk ID
Risk Description
Probability
Data Availability and Quality: Limited or poor- quality reviews may affect the effectiveness of summaries.Establish user feedback channels for improvement.Regularly train and fine-tune the model with relevant contextual data
Aliah
Contingency
Develop fallback strategies to provide alternative information or prompt users to seek additional sources.High
Impact
Severity
Owner
Mitigation
High
Medium
Ruba
R2
Medium
High
Medium
Atheer
R3
High
High
Raghad
R4
Low
High
High
Ensure a diverse dataset with high-quality reviews.Collaborate with Google Maps team to develop mechanisms to identify and filter out fake reviews
Establish a process for monitoring and tracking changes in the Google Maps API and review structure.Provide disclaimers to users about the limitations of the summarization system and encourage them to read the full reviews for detailed information
R1
Medium
Nouf
High
HighLanguage and Cultural Variations: Reviews in different languages and cultural nuances may lead to inaccurate or insensitive summaries.Develop a system to verify and validate reviews.
Risk ID
Risk Description
Probability
Data Availability and Quality: Limited or poor- quality reviews may affect the effectiveness of summaries.
Language and Cultural Variations: Reviews in different languages and cultural nuances may lead to inaccurate or insensitive summaries.
Data Bias: Reviews may contain biased content or fake reviews, leading to misleading summaries.
System Maintenance and Updates: Changes in Google Maps and its review structure may result in outdated or incorrect summaries.
R5
High
Contextual Understanding: ChatGPT may struggle to grasp the context of reviews, leading to inappropriate or inaccurate summaries.
High
Impact
Severity
Owner
Mitigation
High
Medium
Ruba
R2
Medium
High
Medium
Atheer
R3
High
High
Raghad
R4
Low
High
High
Ensure a diverse dataset with high-quality reviews.
Implement data cleaning processes to filter out unreliable or irrelevant reviews.
Implement language detection and translation mechanisms to handle multiple languages. Train ChatGPT on diverse cultural contexts and provide context- awareness guidelines.
Implement bias detection algorithms to identify and mitigate biased content. Collaborate with Google Maps team to develop mechanisms to identify and filter out fake reviews
Establish a process for monitoring and tracking changes in the Google Maps API and review structure. Regularly update the system to adapt to these changes.
Implement contextual understanding techniques, including sentiment analysis, context-aware embeddings, and dialogue history analysis. Regularly train and fine-tune the model with relevant contextual data
Aliah
Contingency
Develop fallback strategies to provide alternative information or prompt users to seek additional sources.
Regularly monitor and evaluate summaries for potential biases and cultural insensitivity.
Establish user feedback channels for improvement.
Develop a system to verify and validate reviews. Regularly update the model with new data to improve its ability to identify biases.
Maintain a backup system or alternative data sources to provide information in case of disruptions or changes in the Google Maps API.
Provide disclaimers to users about the limitations of the summarization system and encourage them to read the full reviews for detailed information
R1
Medium
Nouf
High
High
Summarize English and Arabic text using the statistical algorithm and sorting sentences based on its importance
You can download the summary result with one of any available formats such as PDF,DOCX and TXT
ٌYou can share the summary link easily, we keep the summary on the website for future reference,except for private summaries.
We are working on adding new features to make summarization more easy and accurate
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