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Posts Tagged ‘natural language processing’

New release: Spring 2024

Posted in Search, Text analytics, User experience, tagged , , , , , on 30/04/2024| Leave a Comment »

I am delighted to announce a new release of 2Dsearch, which features a new onboarding experience that provides a much more integrated search journey, particularly for new users. Why does this matter? Well, one of things we’ve come to appreciate since conceiving the 2D approach is the potential of that blank canvas, with its limitless possibilities for constructing precise, accurate searches from simple visual components. But that is also its biggest weakness — faced with a blank screen, many people just don’t know where to start.

This release addresses that, with an integrated onboarding experience that offers four clear journeys:

  • a blank canvas
  • a set of standardised templates (e.g. PICO, SPIDER, etc.)
  • a set of curated samples (showing the types of searches that each source supports)
  • an AI-powered search strategy generator (which we covered in our last release)

You could say this release merely re-packages what we had before, since each of these features already existed somewhere in the app. But they were buried within separate, unconnected journeys and options. In bringing them together, we now offer an integrated experience that provides the support you need throughout your search journey, whether you are novice user or seasoned expert.

This is particularly good news for students and researchers who don’t always want to spend time formulating a robust, accurate search strategy. Now you can choose how much support you need from the outset. Want it all done for you? Choose the AI option. Want to start from a proven framework? Choose a search template. Want to see what each source offers? Choose a curated sample. And if after all that you prefer the DIY approach, just select a blank canvas.

There’s lots more in this release, including many UX improvements and bug fixes, so we hope you enjoy checking it out. As always, 2Dsearch is free to use for everyone, whether you’re a student/researcher, an information professional or even a recruiter/sourcing professional. We’ve lots more planned for the next release, so if you’d like to help shape this or have comments or suggestions then do let us know. We’d be delighted to hear from you. 2Dsearch

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New Year, New Release (2024)

Posted in Search, Text analytics, User experience, tagged , , , , , on 29/01/2024| Leave a Comment »

I am delighted to announce a new release of 2Dsearch, which includes a new feature we’re particularly excited about: the Search Strategy Generator. All you need do is enter your research question (in plain language) and 2Dsearch will identify the facets, offer suitable keyword suggestions and build your search for you, directly on the canvas.

This is great news for students (and many researchers) who, let’s face it, generally hate doing literature reviews and often avoid even trying to formulate a robust, accurate search strategy. But now, as long as you can articulate your research question, you’ll have a starting point which you can refine and modify, simply using drag and drop. And for the rest of us who are happy to create our own finely crafted strategies, well, who doesn’t like a head start for inspiration (or even an automated second opinion)?

What this means is that you can now use 2Dsearch to automatically generate and execute a single visual search across a multiple databases, and benefit from automated translations for many more. There’s lots more in this release, including many UX improvements and bug fixes, so we hope you enjoy checking it out. As always, 2Dsearch is free to use, whether you’re a student/researcher, an information professional or a recruiter/sourcing professional. We have more in the pipeline for the next release, so if you’d like to help shape this or have comments or suggestions then do let us know. We’d be delighted to hear from you. https://www.2dsearch.com/

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A new way to search for patents

Posted in Search, Text analytics, User experience, tagged , , , , on 02/02/2023| Leave a Comment »

I am delighted to announce a new release of 2Dsearch, with various improvements including an integration with two of the world’s biggest patent databases: Google Patents and Lens Patents. What this means is that you can now run a single visual search across 14 different sources and benefit from automated translations for many more. And with the addition of Google Patents and Lens Patents, you can now use 2Dsearch for patent searching and competitive intelligence, with free starter examples for each.

We’ve lots more planned for the next release, so if you’d like to help shape this or have comments or suggestions then do let us know. We’d be delighted to hear from you.

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Research Associate in natural language processing

Posted in Search, Text analytics, tagged , , , , , on 13/12/2022| Leave a Comment »

An early Xmas present maybe…? I am currently hiring for the following position. The official job ad has yet to go live, hence the TBDs below, but I am happy to share further details with interested parties. If you know of anyone suitable, please do encourage them to get in touch ASAP:

Goldsmiths, University of London has a vacancy for the following part-time (0.4) position:  

Research Associate in the field of natural language processing 

This role is part of a strategic research project that aims to apply techniques from corpus linguistics and natural language processing (NLP) to capture and analyze the “public conversation” around the ongoing energy crisis. The energy crisis has become a nexus for important social debates around pivotal issues like climate change, as well as the distribution of economic burdens, equality, risk and sustainability. A study of public debates around the energy crisis can help us understand the complex intersection of discourses around fossil fuels, climate change, sustainability and social justice.   

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2Dsearch: new release (Feb 2022)

Posted in Search, Text analytics, User experience, tagged , , , , on 15/02/2022| Leave a Comment »

Delighted to announce a new release of 2Dsearch, with various improvements including new preferences with options for snap-to-grid, advanced query parsing and default databases. We’ve also integrated the latest version of PolyGlot and fixed the query parser bug which so many of you raised.

What this means is that you can now use 2Dsearch to execute a single visual search across a dozen different databases and benefit from automated translations for many more. We’ve also made further improvements to the user experience and now provide example searches for each of the databases.

We’ve lots more planned for the next release, so if you’d like to help shape this or have comments or suggestions then please let us know.

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2Dsearch: new release (spring 2021)

Posted in Search, Text analytics, User experience, tagged , , , , on 28/04/2021| Leave a Comment »

Spring is traditionally a time of new beginnings, so I am delighted this week to announce a new release of 2Dsearch. This release contains a variety of bug fixes and improvements, including support for two new databases: ACM Guide to Computing Literature and IDEAS (the largest bibliographic database dedicated to Economics available freely on the Internet). We’ve also improved our search report generation tool and now offer query statistics to help you refine those all important search strategies.

What all this means is that you can now use 2Dsearch to search visually across 12 different databases and use automated translations for 8 more. We’ve also made further improvements to the user experience and now provide example searches for each of the 12 databases.

We’ve lots more planned for the next release, so if you’d like to help shape this and/or have comments or suggestions then do let us know. We’d be delighted to hear from you!

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Introduction to Natural Language Processing (slideshow)

Posted in Text analytics, tagged , , , on 22/01/2019| Leave a Comment »

Earlier this week I gave a talk called “Introduction to NLP” as part of a class I am currently teaching at the University of Notre Dame. This is an update of a talk I originally gave in 2010, whilst working for Endeca. I had intended to make a wholesale update to all the slides, but noticed that one of them was worth keeping verbatim: a snapshot of the state of the art back then (see slide 38). Less than a decade has passed since then (that’s a short time to me 🙂 but there are some interesting and noticeable changes. For example, there is no word2vec, GloVe or fastText, or any of the neurally-inspired distributed representations and frameworks that are now so popular (let alone BERT, ELMo & the latest wave). Also no mention of sentiment analysis: maybe that was an oversight on my part, but I rather think that what we perceive as a commodity technology now was just not sufficiently mainstream back then.

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Book review: Deep Text by Tom Reamy

Posted in Information architecture, Search, Text analytics, tagged , , , on 04/04/2017| Leave a Comment »

When I started the London Text Analytics meetup group some seven years ago, ‘text analytics’ was a term used by few, and understood by even fewer. Apart from a handful of enthusiasts and academics (who preferred the label of “natural language processing” anyway), the field was either overlooked or ignored by most people. Even the advent of “big data” – of which the vast majority was unstructured – did little to change perceptions.

But now, in these days of chatbot-fuelled AI mania, it seems everyone wants to be part of the action. The commercialisation and democratisation of hitherto academic subjects such as AI and machine learning have highlighted a need for practical skills that focus explicitly on the management of unstructured data. Career opportunities have inevitably followed, with job adverts now calling directly for skills in natural language processing and text mining. So the publication of Tom Reamy’s book  “Deep Text: Using Text Analytics to Conquer Information Overload, Get Real Value from Social Media, and Add Bigger Text to Big Data” is indeed well timed.

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London Text Analytics: call for venues and speakers

Posted in Events, Text analytics, tagged , , , , on 21/07/2016| Leave a Comment »

After a brief hiatus, I’m pleased to say that we will shortly be relaunching the London Text Analytics meetup. As many of you know, in the recent past we have organized some relatively large and ambitious events at a variety of locations. But we have struggled to find a regular venue, and as a result have had difficulty in maintaining a scheduled programme of events.

What we really need is a venue we can use on a more regular schedule, ideally on an ex-gratia basis. It doesn’t have to be huge – in fact; a programme of smaller (but more frequent) meetups is in many ways preferable to a handful of big gatherings.

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Text Mining and Visualization

Posted in Text analytics, tagged , , , , , on 15/03/2016| 1 Comment »

textmining

I received a pleasant surprise in the post today: my personal copy of Text Mining and Visualization: Case Studies Using Open-Source Tools, edited by Markus Hofmann and Andrew Chisholm. Now I don’t normally blog about books, since as editor of Informer there was a time when I would be sent all manner of titles for inspection and review. But I’ll make an exception here. This is partially since Chapter 7 is my own contribution (on mining search logs), as discussed in my earlier blog posts. This is complemented by 11 other chapters, covering a variety of topics organised into four sections:

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