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2. Sentiment analysis - Wikipedia

   en.wikipedia.org/wiki/Sentiment_analysis

   Open source software tools as well as range of free and paid sentiment analysis tools deploy machine learning, statistics, and natural language processing techniques to automate sentiment analysis on large collections of texts, including web pages, online news, internet discussion groups, online reviews, web blogs, and social media. [53]

3. List of text mining software - Wikipedia

   en.wikipedia.org/wiki/List_of_text_mining_software

   Mathematica – provides built in tools for text alignment, pattern matching, clustering and semantic analysis. See Wolfram Language, the programming language of Mathematica. MATLAB offers Text Analytics Toolbox for importing text data, converting it to numeric form for use in machine and deep learning, sentiment analysis and classification ...

4. Voyant Tools - Wikipedia

   en.wikipedia.org/wiki/Voyant_Tools

   Voyant Tools is an open-source, web-based application for performing text analysis. It supports scholarly reading and interpretation of texts or corpus, particularly by scholars in the digital humanities, but also by students and the general public. It can be used to analyze online texts or ones uploaded by users. [1]

5. Multimodal sentiment analysis - Wikipedia

   en.wikipedia.org/wiki/Multimodal_sentiment_analysis

   Multimodal sentiment analysis is a technology for traditional text-based sentiment analysis, which includes modalities such as audio and visual data. [1] It can be bimodal, which includes different combinations of two modalities, or trimodal, which incorporates three modalities. [ 2 ]

6. Text mining - Wikipedia

   en.wikipedia.org/wiki/Text_mining

   Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text.It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources."

7. Social media analytics - Wikipedia

   en.wikipedia.org/wiki/Social_media_analytics

   In other words, data analysis is the phase that takes filtered data as input and transforms that into information of value to the analysts. Many different types of analysis can be performed with social media data, including analysis of posts, sentiment, sentiment drivers, geography, demographics, etc. The data analysis step begins once we know ...