Sentences with phrase «using text analysis»

Using a text analysis model, they identified common phrases and words in the conversations they examined.

The free app provides a forecast of next day price directions for U.S. stock indexes and equities using text analysis and proprietary algorithms to analyze and encapsulate the online sentiment of publicly traded companies from seven million web pages published by over fifteen thousand sources, including news outlets, financial analysts, corporate websites and social networking sites such as Twitter and Facebook.

You can also use the text analysis methods of # 9 and # 11 to either create a list of common keywords or a tag cloud of most common terms from these results.

Clarabridge uses text analysis and language processing to analyze customer sentiment, categorize comments and evaluate survey responses.

Not exact matches

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Likewise, in an example revealed by Gartner analyst Doug Laney, Walmart stores increased online sales as much as 15 % — that's billions of dollars — using machine learning, text analysis and synonym mining.

Another value proposition frequently heard is in tailoring basic semantic text analysis to specific use cases.

The tech company this week introduced an instant tone analyzer that uses linguistic analysis to assess the tone of emails or blogs or text message.

Both focused their attention on the literary qualities of the text and used analysis of the writer's styles to enhance appreciation and deepen understanding.

In any case, as someone else pointed out, this is just using a text recognition analysis for certain words; noticeably missing is the contents / context of those tweets.

Vodafone Hutchison Australia has accused the competition regulator of using «failed gambles» and spurious analysis in its regulation of mobile phone and text message prices.

To assess the robustness of the results of our regression analysis, we performed covariate adjustment with derived propensity scores to calculate the absolute risk difference (details are provided in the Supplementary Appendix, available with the full text of this article at NEJM.org).14, 15 To calculate the adjusted absolute risk difference, we used predictive margins and G - computation (i.e., regression - model — based outcome prediction in both exposure settings: planned in - hospital and planned out - of - hospital birth).16, 17 Finally, we conducted post hoc analyses to assess associations between planned out - of - hospital birth and outcomes (cesarean delivery and a composite of perinatal morbidity and mortality), which were stratified according to parity, maternal age, maternal education, and risk level.

(2006) Discussion paper prepared for HIV and infant feeding technical consultation, 25 - 27 October 2006 HIV and infant feeding counselling (2005) From research to practice Update on dissemination and use of new and revised HIV and infant feeding publications (2005) UNICEF and WHO call for stronger support for the implementation of the joint United Nations HIV and infant feeding framework (2004) Full text [pdf 117kb] HIV and infant feeding data analysis (2004) Workshop report HIV and infant feeding generic slide set (2004) UNICEF and WHO joint statement on HIV and infant feeding (2004) What are the options?

Thematic network analysis [23] was used to reduce and explore the text, and to integrate the themes identified in this exploration.

Analysis at the textual level is concerned with the minutiae of the text such as how it is formed and what particular vocabulary and style is used in order to produce meaning [23].

As well as the graphical output, detailed reports are produced of the number, length, and content of the text differences which can be used for further statistical and content analysis.

And another study which makes use of automated text analysis even promises up to 97 per cent accuracy thus also showing that rumors aren't shared with the same language as factual stories are.

One approach is to turn to basic text analysis, which is easily implemented in R (using a package such as «quanteda»).

Below, I discuss and analyse pre-processing decisions in relation to an often - used application of text analysis: scaling.

For our analyses of congressional appropriations and budget resolutions, we generally use the text of the relevant bills as well as the reports that accompany them.

In 2003 Pennebaker and statistician R. Sherlock Campbell, now at Yale University, used a statistical tool called latent semantic analysis (LSA) to study the diary entries of trauma patients from three earlier studies, looking for text characteristics that had changed in patients who were convalescing and met rarely with their physician.

Jockers developed his techniques at Stanford University in California, where he worked with literature researcher Franco Moretti, who pioneered the use of automated large - scale analyses of digitised texts, a process he calls «distant reading».

Although the IPCC clearly warns of the threat of climate change, the text analysis showed that their report used more cautious, less explicit language to present their claims.

Using a series of computational text analysis tools to measure the use of hedging or emotional words, Srdan Medimorec and Gordon Pennycook, both PhD candidates in the Department of Psychology at Waterloo, examined two recent reports of opposing groups.

The system analyses the reading speed and uses the result to automatically adjust the speed at which the text is displayed on the screen.

Full scan qualitative analysis was done using an LTQ Orbitrap MS at a resolution of 60.000 at full - width - half - maximum (FWHM) and by comparing the full scan spectra with calculated masses (Text S1).

Because dating scammers use the same text again and again, the fraud detection company analyses profile text so it can spot this repeated content, but also because there can be elements of «scammy» profile text that can be detected, even when the content is completely unique.

Easy to use sheets with practical examples to help your pupils understand the concepts around Break Even Analysis, what the main features are, how to create them and an activity to text what they have learnt plus plenary.

Pamela Mason, senior lecturer, director of the Jeanne Chall Reading Lab: Teachers can leverage the film and text version of Black Panther, or any cross-media work, to demonstrate to students that they can use their lived experiences to connect with storylines and contribute insights to a class discussion or written analysis.

Poetry is not a given in AP Language and Composition — in fact, some teachers use only nonfiction texts because a major focus of the class is rhetorical analysis.

A Lesson Presentation that presents Teaching Resources on how to use Point - Evidence - Explain (PEE) technique for text analysis.

Teach strategies that emphasize analysis and interpretation — examine author styles and use of language through literal and figurative analysis to get meaning from text.

Analysis of the following texts: - leaflets - theme of holidays and attractions - articles - theme of legal driving age - reports - adverts - newspapers - range of broadsheet and tabloid - posters - NSPCC - social media - tv news - autobiography - letters - ban mobile phones Differentiation by colour: yellow = higher ability blue - middle ability purple = lower ability These resources provide opportunities to: - Analyse language, form and structure of non fiction texts - analyse the use of persuasive language - write persuasively - create a wide variety of non fiction texts - explore texts from a variety of sources and media - explore relevant topics for young people - develop speaking and listening skills Ideal for KS3 ahead of GCSE 9 - 1

6 fully differentiated (by colour) lessons to support the teaching of language analysis for new specification AQA paper 2 -(non fiction texts) Differentiation: purple = lower blue = middle yellow = higher Resources use a range of modern non fiction and 19th century non fiction texts to guide students through answering Q3 - language analysis.

Differentiation: purple = lower ability blue = middle ability yellow = higher ability Resources prepare students for answering Q3 (language) and Q4 (comparison) and cover the following: - analysis of vocabulary - analysis of sentence forms - analysis of language techniques - explore audience and purpose - study of model answers - exploring the effect of language - improving exam responses using mark schemes - explore perspective - understand the difference between synthesis and comparison - form comparisons between texts - practice timed responses Regular assessments are included to assess students ability in true or false and synthesis tasks.

Students learn through the following tasks: - Gauging and collaborating previous knowledge through an interactive starter task; - Identifying the descriptive devices in sentences written about 19th Century characters; - Building close reading skills through a study of a fiction extract from Frankenstein - Answering exam - style questions interpreting and inferring the key meanings in the text; - Using models and templates to write extended analysis responses about the descriptive language used in the fiction extract; - Peer assessing their partners» learning attempts.

Because respondents were randomly assigned to receive the refutation text or the control, we use straightforward analyses including descriptive statistics, t - tests, and ordinary least squares regressions.

Whereas students in the past may have read something, then moved immediately to write personal responses and narratives, the Common Core pushes them and their teachers to stay with the text — to use the author's words and other evidence within the text to answer questions and to support analysis.

This lesson is focused on a theme of community, lessons learned, analysis of text / close reading, and feelings but can easily be modified for other uses.

Based around the text Tribes, there are a range of 30 + tasks that address GCSE style comprehension and analysis skills using key extracts from the novel.

This lesson is focused on a theme of lessons learned, analysis of text / close reading, and feelings but can easily be modified for other uses.

To enhance the educational effectiveness of video in the schools, educators are urged to promote active viewing and critical analysis of media texts, assign video as homework, use segments of no more than ten to 15 minutes, and use television programming as a bridge to public television, museums, community groups, cultural organizations, and professional and industry associations.

Based around the text Life of Pi, there are a range of 30 + tasks that address GCSE style comprehension and analysis skills using key extracts from the novel.

College - and career - ready standards, including the CCSS, expect students to use evidence from texts to present careful analyses, well - defended claims, and clear information.

Use with exam classes - to give students insight into what it is like to practise a religion Other resources which relate to this passage and to text - analysis and understanding the Bible are added

For further analysis, we focused on those categories for which 10 or more teachers were frequently observed to have used the strategy: asking text - based questions, asking higher level questions, and asking children to write in response to what they had read.

For example, students should use what they are learning in content courses to «write informative / explanatory texts to examine a topic and convey ideas, concepts, and information through the selection, organization, and analysis of relevant content» (CCSS.ELA - Literacy.

We use a 4 - step routine that creates a potent combination of Cornell notes and structure analysis to produce: 1) college - level notes, 2) main ideas, 3) summaries, 4) graphic organizers and structure analysis, 5) questions beyond the text, 6) evidence, and 6) clear pre-writing.

This course covers reading, writing, and analysis using both informational and literary texts.

I was able to analyze these data using SPSS and Excell, and for the open ended texts, depended on Dedoose, a platform for the analysis of qualitative data.