background preloader

TextAnalysis

Facebook Twitter

MPQA Resources. Sentiment Dictionaries for WordStat Content Analysis Software. Positive-words. ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ; ; Opinion Lexicon: Positive ; ; This file contains a list of POSITIVE opinion words (or sentiment words). ; ; This file and the papers can all be downloaded from ; ; ; If you use this list, please cite one of the following two papers: ; ; Minqing Hu and Bing Liu.

positive-words

"Mining and Summarizing Customer Reviews. " ; Proceedings of the ACM SIGKDD International Conference on Knowledge ; Discovery and Data Mining (KDD-2004), Aug 22-25, 2004, Seattle, ; Washington, USA, ; Bing Liu, Minqing Hu and Junsheng Cheng. "Opinion Observer: Analyzing ; and Comparing Opinions on the Web. " Proceedings of the 14th ; International World Wide Web conference (WWW-2005), May 10-14, ; 2005, Chiba, Japan. ; ; Notes: ; 1. The appearance of an opinion word in a sentence does not necessarily ; mean that the sentence expresses a positive or negative opinion. ; See the paper below: ; ; Bing Liu.

Sentiment Analysis for Dutch. We are interested in creating systems that automatically discern between facts and opinions in written text.

Sentiment Analysis for Dutch

Put simply, we do this by assigning scores to words. For example, bad = –1.0 and good = +1.0. We can then estimate the average score or "polarity" of a sentence. For details, see our paper. We are currently processing thousands of Dutch words and you can help us out by tagging some of them. Words such as perfect or prachtig (beautiful) are very positive and should be tagged in green. ELRA-ELDA Portal. WordSmith Tools home page. Windows software for finding word patterns Published by Lexical Analysis Software and Oxford University Press since 1996 Concord ... for finding all instances of a word or phrase.

WordSmith Tools home page

KeyWords ... helps find salient words in a text or set of texts. WordList ... lists the words in your text(s) in alphabetical and frequency order. and a number of further Utility tools System Requirements WordSmith Tools version 7 is for Windows XP or later, including Windows 7 and 8, 8.1, 10, and either 32 or 64-bit versions. It will be happiest on a fairly modern laptop or desktop PC (e.g. ones bought in the last 4 years). You will need 100 Mb disk-space and 1GB of RAM as a minimum. Installing WordSmith If you download the self-extracting setup.exe file, just run it: it will help you expand the contents into c:\Program Files\wsmith7 or wherever you choose. To install, all you need do is be sure you have all the files in the same folder. Bill McDonald's Word Lists Page. Note: We thank Cam Harvey and others who suggested some of the modifications we’ve included in these lists.

Bill McDonald's Word Lists Page

The word lists are described in: Tim Loughran and Bill McDonald, 2011, “When is a Liability not a Liability? Textual Analysis, Dictionaries, and 10-Ks,” Journal of Finance, 66:1, 35-65. Nominal Synonyms, Nominal Antonyms. Relevance Relevance ranks synonyms and suggests the best matches based on how closely a synonym’s sense matches the sense you selected.

Nominal Synonyms, Nominal Antonyms

Complexity Complexity sorts synonyms based on their difficulty. Adjust it higher to choose from words that are more complex. Length. For Qualitative Research. Computational Lexicology & Terminology Lab. Dutch sentiment analysis engine download. Resources. Text and word analyzer. <textcomptools> Several tools have been developed that measure the quantitative dimension of text complexity.

<textcomptools>

Below is a list of the tools: ATOS by Renaissance Learning This tool uses two formulas: ATOS for Text and ATOS for Books. Both formulas consider words per sentence, average grade level of words and characters per word. Degrees of Reading Power (DRP) by Questar Assessment, Inc. This tool measures word length, sentence length and word familiarity. Flesch-Kincaid This formula considers two factors: words and sentences. The Lexile Framework for Reading by MetaMetrics A Lexile measure represents both the complexity of text and an individual's reading ability.

Reading Maturity by Pearson Education This tool uses Latent Semantic Analysis (LSA) to measure how much language experience is required to achieve the meaning of each word, sentence and paragraph in a text. Easability Indicator by Coh-Metrix This program was developed at the University of Memphis and Arizona State University.

LanguageTool Style and Grammar Check. Top 23 Free Software for Text Analysis, Text Mining, Text Analytics. A Community Site for R – Sponsored by Revolution Analytics. » Expanded Stopwords List Matthew L. Jockers. Below is the list of stop words I used in topic modeling a corpus of 3,346 works of 19th-century British, American, and Irish fiction.

» Expanded Stopwords List Matthew L. Jockers

The list includes the usual high frequency words (“the,” “of,” “an,” etc) but also several thousand personal names. Text Mining, Analytics & More. Newest Salience Version Offers Intention Analysis. Introducing Salience 6 We’re excited to announce the newest version of Lexalytics’ Salience Text Analytics Engine, Salience 6!

Newest Salience Version Offers Intention Analysis

Salience 6 is built on the Syntax Matrix, a powerful new technology that supports cool new features, like extracting intent with our uniquely potent intention analysis, as well as enhancing existing sentiment analysis. The newest version of Salience also offers new avenues for customization, including the ability to use sets of tagged content to train custom classification models. Salience 6 is currently available for on premise customers and the new features will be available in our Semantria SaaS text mining system on December 16th. Understand language structure with the Syntax Matrix We’ve been working on our brand new Syntax Matrix for over a year now. Take immediate action with Intention Analysis The Syntax Matrix powers one of Salience’s most powerful new features, intention analysis.

Currently, Intentions detects the intent to buy, sell, recommend, or quit.