Text2data

Text2data is a text analytics platform offered by the vendor, Text2data. According to the vendor, the platform utilizes Natural Language Processing (NLP) and Machine Learning techniques to extract essential information from text documents. It offers a range of services including sentiment analysis, document classification, entity extraction, theme discovery, keyword analysis, citation detection, and slang detection.

Key Features

Sentiment Analysis: According to the vendor, Text2data allows users to perform sentiment analysis on text documents to determine the positive, negative, or neutral sentiment. It provides detailed sentiment scores and polarity for each document, enabling real-time analysis of customer feedback, social media posts, and more.

Document Classification: Text2data offers the capability to classify text documents into generic or custom categories. Users can choose to use pre-trained models or train their own custom classification models. This feature allows for the organization and categorization of large volumes of text data, making it easier to analyze.

Entity Extraction: The vendor states that Text2data enables the extraction of entities such as names, locations, and organizations from text documents. Users have the option to use pre-trained models or train their own custom entity extraction models. This feature provides insights into the key entities mentioned in documents, enhancing understanding.

Theme Discovery: Text2data allows users to discover themes and topics present in text documents. The platform identifies recurring patterns and topics across a collection of documents, enabling users to categorize and analyze text data for deeper insights.

Keyword Analysis: According to the vendor, Text2data helps users identify important keywords and terms in text documents. It analyzes keyword frequency and relevance within a document or collection of documents, providing insights into the main topics and focus of the text content.

Citation Detection: Text2data includes the capability to detect citations and references within text documents. Users can identify sources and external references mentioned in the text, enabling them to track and analyze the use of citations for research or credibility assessment.

Slang Detection: The vendor claims that Text2data can detect and analyze slang words and expressions in text documents. It identifies informal language and expressions that may impact sentiment or understanding. This feature provides insights into the use of slang in customer feedback or social media posts.

Social Media Monitoring: Text2data offers real-time monitoring of social media platforms. Users can track mentions of their brand, products, or competitors. The platform allows for the analysis of sentiment, themes, and keywords in social media posts, providing actionable insights.

Excel Add-In: According to the vendor, Text2data offers an Excel Add-In that allows users to incorporate advanced NLP and machine learning services directly into Microsoft Excel. Users can perform sentiment analysis, document classification, and entity extraction within the familiar Excel environment. This feature enables the generation of reports and seamless analysis of text data.

Google Sheets Add-on: Text2data provides a Google Sheets Add-on that enhances text analysis in Google Sheets. Users can perform sentiment analysis, document classification, and entity extraction directly within Google Sheets. The Add-on allows for efficient generation of reports and analysis of text data within the Google Sheets platform.