Best Text Mining Software for Amazon

Kimola Cognitive is a highly reliable Machine Learning Platform that empowers individuals to automatically extract reviews from over 20 different channels and analyze and categorize customer feedback or any other textual data. These are the top features of Kimola Cognitive: Gather reviews by scraping the web Conduct text analysis and entity recognition with drag and drop Analyze data with ready-made models found on the Kimola Cognitive Gallery Create, train, and store custom machine learning models without coding Generate executive summaries, SWOT analyses, and other impactful marketing materials utilizing GPT Integration Accessible in six languages and increasing

Transform your language data into valuable insights quickly and effortlessly, without any coding required. Join a community of over 10,000 companies, researchers, and marketers leveraging Speak to minimize manual tasks, gain a competitive edge, foster deeper customer connections, and enhance decision-making processes. Speak is equipped to support various essential organizational functions, including qualitative research, academic studies, marketing analysis, and competitive intelligence. With features that allow for seamless individual and bulk uploads of audio, video, and text data, users can easily convert audio and video files into text through automated transcription, import CSVs for comprehensive analysis, and utilize an embeddable recorder for capturing recordings. Additionally, you can create content directly within Speak or integrate with popular tools to streamline data capture. Whether dealing with customer interviews, Zoom sessions, YouTube content, podcasts, focus group discussions, Amazon reviews, tweets, or other significant qualitative feedback sources, Speak empowers users to uncover actionable insights that drive competitive advantages and inform strategic decisions. Ultimately, by harnessing the capabilities of Speak, organizations can not only improve efficiency but also enhance their understanding of customer needs and market trends.

Cauliflower can process feedback and comments for any type of service or product. Cauliflower uses Artificial Intelligence (AI) to identify the most important topics, evaluate them, and establish relationships. Machine learning models in-house developed for extracting content and evaluating sentiment. Intuitive dashboards that offer filter options and drill-downs. You can use included variables to indicate language, weight, ID and time. In the dropdown, you can define your own filter variables. Cauliflower can translate the results into a common language if necessary. Instead of reading customer feedback sporadically and quoting individual opinions, define a company-wide language.