Extracting Comments Insights is an AI-powered tool that allows businesses to analyze and understand customer feedback and sentiment by extracting comments from various sources like videos, social media, and product pages.

The tool offers several features including sentiment analysis, named entity recognition, key phrase extraction and predicting customers' needs. Sentiment analysis is a text mining technique that helps businesses understand the emotions behind customer feedback, survey responses and video comments.

It plays a significant role in monitoring online comments, social media monitoring, reputation management and improving customer experience. Key phrase extraction, on the other hand, analyzes text using natural language processing (NLP) to extract the most important words and expressions from the text.

This method helps businesses identify what topics are causing the most discussion among their customers and automate the process to save time and improve customer service quality.

The tool uses pre-built models and has no-code text analytics, making it easy for businesses to get clean insights from their data. It supports several input comment options and has an advanced natural language processing (NLP) feature that analyzes data in 23 languages.

Overall, Extracting Comments Insights offers businesses valuable, clear, and remarkable insights from their customer feedback to help them gain insights into customer preferences, pain points, areas for improvement and to develop more effective marketing strategies, improve product or service offerings, and increase customer loyalty.

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Taha Hamedani

Nov 1, 2023

Best tools for extracting insights from text data. I used sentiment analysis and category extraction services and the performance of results are promising.

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Comments Analytics was manually vetted by our editorial team and was first featured on June 22nd 2023.

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Pros and Cons

Pros

Sentiment analysis capability

Named entity recognition

Key phrase extraction

Predicts customers' needs

No-code text analytics

Pre-built models support

Advanced NLP features

Analysis support for 23 languages

Multiple input comment options

Google Chrome extension

Supports csv/xlsx imports

Real-time scalability

24/7 technical support

Customizable analysis

One-click deployment

Handles large data volumes

Immediate, dedicated user support

Supports visualizing comments with word clouds

Machine learning model utilization

Clean, clear insight extraction

Helps improve customer service

Helps identify customer pain points

Contributes to effective marketing strategies

Facilitates product or service improvement

Aids in increasing customer loyalty

Rule-based machine translation

Cons

Pre-built models limitation

No code customization

Limited language support (23)

No API for integration

No real-time analysis

Requires manual data input

Cannot handle complex sentiment

Dependent on internet connection

No SDKs for integration

No clear data privacy policy

Q&A

What is Extracting Comments Insights?

Extracting Comments Insights is an AI-powered tool that enables businesses to understand and assess customer feedback and sentiment. This is achieved by extracting and analyzing comments from various sources such as videos, social media, and product pages. Its primary goal is to offer valuable, clear, and remarkable insights to businesses about their customer feedback to help them gain insights into customer preferences and areas for improvement, thus enabling them to develop more effective marketing strategies, improve product or services, and increase customer loyalty.

How does Extracting Comments Insights analyze customer feedback?

Extracting Comments Insights analyzes customer feedback using several features including sentiment analysis, named entity recognition, key phrase extraction, and customers' needs prediction. It uses natural language processing (NLP) to study comments, identify sentiments or emotions, recognize referenced entities, and highlight key information from the text. As a result, businesses can understand what their customers are saying, feeling, and discussing.

What specific features does Extracting Comments Insights provide?

Extracting Comments Insights provides several specific features. Namely, Sentiment Analysis, which extracts and quantifies affective states information from comments; Named Entity Recognition, which locates and classifies named entities mentioned in unstructured text; Key Phrases Extraction that isolates crucial words and phrases from comments; and a predictive algorithm which anticipates future needs of customers or subscribers.

What role does sentiment analysis play in Extracting Comments Insights?

Sentiment Analysis in Extracting Comments Insights plays a crucial role in understanding the emotions expressed in the provided feedback, monitoring online comments, social media activity, reputation management, and enhancing customer experience. It works by contextually mining the text to identify the emotional tone and sentiment behind the customers' words.

What is key phrase extraction and how does it work in Extracting Comments Insights?

Key phrase extraction in Extracting Comments Insights is a method that uses Natural Language Processing (NLP) to extract the most relevant words and expressions from the text. This feature allows businesses to understand the topics that are sparking the most discussions among customers, which can then be automated to save time and enhance the quality of customer service.

How does Extracting Comments Insights predict customers' needs?

Extracting Comments Insights predicts customers' needs by leveraging AI and machine learning techniques. However, exact details on how the AI predicts the customers' needs are not explicitly mentioned.

Can Extracting Comments Insights handle input in different languages?

Yes, Extracting Comments Insights can handle input in different languages. It supports analysis of data in 23 languages using advanced natural language processing (NLP).

What is the method of input in Extracting Comments Insights?

Users have multiple methods for inputting comments in Extracting Comments Insights. Comments can be provided via direct copy/paste option, by using a Google Chrome extension to extract comments from their website, or through uploading an Excel CSV/XLSX file.

How does Extracting Comments Insights support the analysis of data in 23 languages?

Extracting Comments Insights supports the analysis of data in 23 languages through advanced natural language processing (NLP) techniques and machine translation. The AI uses a blend of Rule-based Machine Translation and AI models to effectively analyze data across 23 different languages.

Does Extracting Comments Insights require any coding knowledge?

No, Extracting Comments Insights does not require any coding knowledge. It is designed with pre-built models and no-code text analytics which facilitates easy insights extraction from user data.

What is the use of pre-built models in Extracting Comments Insights?

The use of pre-built models in Extracting Comments Insights allows businesses to gain clean, valuable insights from their data. These pre-built AI models have been designed in such a way that they demonstrate excellent performance on a variety of tasks, removing the need for businesses to develop their own models and thus making the tool more accessible and time-effective.

Does Extracting Comments Insights come with a chrome extension?

Yes, Extracting Comments Insights does come with a Google Chrome extension. This extension allows users to easily extract comments from their websites for analysis.

What is the process of importing comments for analysis in Extracting Comments Insights?

The process of importing comments for analysis in Extracting Comments Insights can be done via different methods. Users can either input their comments through a copy/paste option, use the Google Chrome extension to extract comments from their websites, or import their comments through an Excel CSV/XLSX file upload.

How effective is Extracting Comments Insights in scaling up with the increased workload?

Extracting Comments Insights is designed to effectively scale up with increased workload. The system has dedicated servers and uses the right tools and frameworks to ensure its capacity to adapt to growing workload or market demands.

Does Extracting Comments Insights provide immediate customer support?

Yes, Extracting Comments Insights provides immediate customer support. They offer a robust support system including 24/7 ticket support, dedicated sales managers, and available engineers to answer user queries.

Can Extracting Comments Insights be customized according to the website?

Yes, Extracting Comments Insights can be customized according to the website. The tool provides flexibility for modifying inference models for texts from different websites and allows for input comments from various websites.

Is there an excel file upload feature in Extracting Comments Insights?

Yes, Extracting Comments Insights does have an excel file upload feature, facilitating users to import their comments through an Excel CSV/XLSX file for analysis.

What type of reports does Extracting Comments Insights provide?

Specifics about the type of reports provided by Extracting Comments Insights are not mentioned. However, the mention of 'Different reports needed for business' suggests customized report generation capabilities.

Does Extracting Comments Insights offer different plans in their pricing?

The information about different plans in their pricing is not mentioned directly. It is suggested to directly contact their sales or support team for pricing details.

What is named entity recognition and how does it function in Extracting Comments Insights?

Named Entity Recognition is a feature that locates and classifies named entities mentioned in the text. In Extracting Comments Insights, this capability is used to comprehend and categorize entities in unstructured text, helping businesses to better understand their customers' feedback.