#TextProcessing
PS: 📅 #HELPLINE. Want to discuss your article? Need help structuring your story? Make a date with the editors of Low Code for Data Science via Calendly → calendly.com/low-code-blo...

#datascience #textprocessing #nlp #dictionary #textanalysis #KNIME #lowcode #nocode #opensource #visualprogramming
September 8, 2025 at 7:30 AM
March 8, 2025 at 8:30 PM
Remember copying text from PDFs and getting this mess?

"This is some text
with terrible
formatting everywhere"

I got tired of manually fixing it, so I built LineBreaker.io. The enemies of clean formatting... WILL KNOW DEFEAT!

#buildinpublic #productivity #textprocessing
July 31, 2025 at 6:40 PM
COUNTVECTORIZER and TFIDF VECTORIZER in NLP Explained | Dr. Deepika Sharma | Teacher Cool

Watch Full Video on youtube :
youtu.be/bU9WrU7rhn4

#CountVectorizer #TfidfVectorizer #NaturalLanguageProcessing #NLP #PythonProgramming #MachineLearning #TextProcessing #DataScience
November 20, 2024 at 9:41 AM
Chonkie 🦛 is a blazing fast, no-bloat Python chunking library for RAG pipelines. Token, semantic, recursive, even agentic chunkers — install, import, CHONK.

🔗 github.com/chonkie-inc/...

#AI #LLM #OpenSource #TextProcessing #PythonTools
GitHub - chonkie-inc/chonkie: 🦛 CHONK your texts with Chonkie ✨ — The no-nonsense RAG chunking library
🦛 CHONK your texts with Chonkie ✨ — The no-nonsense RAG chunking library - chonkie-inc/chonkie
github.com
June 10, 2025 at 4:12 PM
#Linux #Command: #awk

A powerful text-processing tool perfect for extracting, analyzing, & transforming structured data. Whether you're working with logs, CSVs, or system output, awk brings scripting power to your command line.

#TextProcessing #CLI #DataParsing #TerminalSkills
June 22, 2025 at 4:04 PM
Master Linux one command at a time – process and analyze like a pro with #awk! 📊 This powerful #textprocessing tool is perfect for extracting, transforming, and reporting data right from the terminal. #LinuxTips #CommandLine #DataTools #Scripting #AwkCommand #DevLife #OpenSource
May 10, 2025 at 4:01 PM
Sort Lines

Type in a few lines and they'll sort either alphabetically, by length; or in a natural sort.

#bluesky #sortlines #textprocessing #naturalsorting #algorithm
Sort Lines
Type in a few lines and they'll sort either alphabetically, by length; or in a natural sort.
webby.tools
April 14, 2026 at 11:20 PM
📝 Strings:
Otimize manipulação de texto com String, StringBuilder e métodos eficientes de tratamento de texto.
#JavaStrings #TextProcessing #Performance 👇
a cartoon dog wearing a red hat is holding a rope in front of a tunnel .
ALT: a cartoon dog wearing a red hat is holding a rope in front of a tunnel .
media.tenor.com
September 30, 2024 at 12:52 AM
The plane rests on the ground with clouds above in the sky In this image provided by the U.S. Air Force, the Boeing B-29 named the "Enola Gay" is seen on Tinian in the Marianas Islands.U.S. Air Force via AP By The Associated Press WASHINGTON — References to a World War II Medal of Honor recipient, the Enola Gay aircraft that dropped an atomic bomb on Japan and the first women to pass Marine infantry training are among the tens of thousands of photos and online posts marked for deletion as the Defense Department works to purge diversity, equity and inclusion content, according to a database obtained by The Associated Press. The database, which was confirmed by U.S. officials and published by AP, includes more than 26,000 images that have been flagged for removal across every military branch. But the eventual total could be much higher. One official, who spoke on condition of anonymity to provide details that have not been made public, said the purge could delete as many as 100,000 images or posts in total, when considering social media pages and other websites that are also being culled for DEI content. The official said it’s not clear if the database has been finalized. Defense Secretary Pete Hegseth had given the military until Wednesday to remove content that highlights diversity efforts in its ranks following President Donald Trump’s executive order ending those programs across the federal government. The vast majority of the Pentagon purge targets women and minorities, including notable milestones made in the military. And it also removes a large number of posts that mention various commemorative months — such as those for Black and Hispanic people and women. But a review of the database also underscores the confusion that has swirled among agencies about what to remove following Trump’s order. Gonsalves smiles as he wears a military hat and uniform This image provided by the U.S. Marine Corps shows World War II Medal of Honor recipient Pfc. Harold Gonsalves during World War II.U.S. Marine Corps via AP Aircraft and fish projects are flagged In some cases, photos seemed to be flagged for removal simply because their file included the word ”gay,” including service members with that last name and an image of the B-29 aircraft Enola Gay, which dropped the first atomic bomb on Hiroshima, Japan, during World War II. Several photos of an Army Corps of Engineers dredging project in California were marked for deletion, apparently because a local engineer in the photo had the last name Gay. And a photo of Army Corps biologists was on the list, seemingly because it mentioned they were recording data about fish — including their weight, size, hatchery and gender. In addition, some photos of the Tuskegee Airmen, the nation’s first Black military pilots who served in a segregated WWII unit, were listed on the database, but those may likely be protected due to historical content. The Air Force briefly removed new recruit training courses that included videos of the Tuskegee Airmen soon after Trump’s order. That drew the White House’s ire over “malicious compliance,” and the Air Force quickly reversed the removal. Many of the images listed in the database already have been removed. Others were still visible Thursday, and it’s not clear if they will be taken down at some point or be allowed to stay, including images with historical significance such as those of the Tuskegee Airmen. Asked about the database, Pentagon spokesman John Ullyot said in a statement, “We are pleased by the rapid compliance across the Department with the directive removing DEI content from all platforms. In the rare cases that content is removed that is out of the clearly outlined scope of the directive, we instruct components accordingly.” He noted that Hegseth has declared that “DEI is dead” and that efforts to put one group ahead of another through DEI programs erodes camaraderie and threatens mission execution. Pentagon DEI In this image provided by the U.S. Marine Corps, Pfc. Christina Fuentes Montenegro prepares to hike to her platoon's defensive position during patrol week of Infantry Training Battalion near Camp Geiger, N.C. Oct. 31, 2013.Sgt. Tyler Main/U.S. Marine Corps via AP Some images aren’t gone In some cases, the removal was partial. The main page in a post titled “Women’s History Month: All-female crew supports warfighters” was removed. But at least one of the photos in that collection about an all-female C-17 crew could still be accessed. A shot from the Army Corps of Engineers titled “Engineering pioneer remembered during Black History Month” was deleted. Other photos flagged in the database but still visible Thursday included images of the World War II Women Air Service Pilots and one of U.S. Air Force Col. Jeannie Leavitt, the country’s first female fighter pilot. Also still visible was an image of then-Pfc. Christina Fuentes Montenegro becoming one of the first three women to graduate from the Marine Corps’ Infantry Training Battalion and an image of Marine Corps World War II Medal of Honor recipient Pfc. Harold Gonsalves. It was unclear why some other images were removed, such as a Marine Corps photo titled “Deadlift contenders raise the bar pound by pound” or a National Guard website image called “Minnesota brothers reunite in Kuwait.” Why the database? The database of the 26,000 images was created to conform with federal archival laws, so if the services are queried in the future, they can show how they are complying with the law, the U.S. official said. But it may be difficult to ensure the content was archived because the responsibility to ensure each image was preserved was the responsibility of each individual unit. In many cases, workers are taking screenshots of the pages marked for removal, but it would be difficult to restore them if that decision was made, according to another official, who like the others spoke on the condition of anonymity to provide additional details that were not public. A Marine Corps official said every one of its images in the database “either has been taken down or will be taken down.” The Marines are moving on the directive as fast as possible, but as with the rest of the military, very few civilian or contractor employees at the Pentagon can perform content removal, the official said. In the Marine Corps, just one defense civilian is available to do the work. The Marine Corps estimates that person has identified at least 10,000 images for removal — and that does not count more than 1,600 social media sites that have not yet been addressed. Many of those social media sites were military base or unit support groups created years ago and left idle. No one still has the administrative privileges to go in and change the content. The Marine official said the service is going through each site and getting new administrative privileges so it can make the changes. On Feb. 26, the Pentagon ordered all the military services to spend countless hours poring over years of website postings, photos, news articles and videos to remove any mentions that “promote diversity, equity and inclusion." If they couldn’t do that by Wednesday, they were told to “temporarily remove from public display” all content published during the Biden administration’s four years in office. --Tara Copp, Lolita C. Baldor and Kevin Vineys/The Associated Press ___ AP reporters Nicholas Riccardi in Denver, Christina Cassidy in Atlanta, Will Weissert and Ayanna Alexander in Washington and Christine Fernando in Chicago contributed to this report. If you purchase a product or register for an account through a link on our site, we may receive compensation. By using this site, you consent to our User Agreement and agree that your clicks, interactions, and personal information may be collected, recorded, and/or stored by us and social media and other third-party partners in accordance with our Privacy Policy.
www.oregonlive.com
March 7, 2025 at 7:18 AM
IBM Pin 0282 / Lotus AmiPro Icon

In the mid 1990s the office software from Lotus was called Lotus SmartSuite. The package contained typical office products for textprocessing, calculation, charting, presentation and data managing.

www.mypins.de/ibm
#ibmpinmuseum
#ibmpins
#ibmpin0282
#lotusamipro
June 25, 2025 at 9:06 AM
09-TextProcessing-WordSegment-Case
## Summary This article introduces how to use `@kit.NaturalLanguageKit` in HarmonyOS for text word segmentation and implement a simple sentiment analysis function. By creating a `TextProcessingWordSegment` component, users can input evaluation text, click a button to perform sentiment analysis, and finally display the sentiment tendency (positive, negative, or neutral) of the evaluation. ## Implementation Steps 1. Import the `textProcessing` module from `@kit.NaturalLanguageKit`. 2. Create a `TextProcessingWordSegment` component, which includes a text input box, a text area to display results, and an analysis button. 3. Implement the event handler for the button click, and call `textProcessing.getWordSegment` to perform word segmentation. 4. Create a `SentimentAnalysisService` class to perform sentiment analysis based on the word segmentation results. 5. Display the final sentiment label according to the sentiment score. ## Implementation Code ### 1. Import Modules and Define Components import { textProcessing } from '@kit.NaturalLanguageKit'; @Entry @Component struct TextProcessingWordSegment { @State comment: string = 'The logistics is fast, the packaging is good, and I am particularly satisfied with the product'; @State label: string = '' build() { Column({ space: 20 }) { TextArea({ text: this.comment }) .height(200) Text('Evaluation Nature: ' + this.label) Button('Sentiment Analysis') .onClick(async () => { const results = await textProcessing.getWordSegment(this.comment) const words = results.map(item => item.word) const service = new SentimentAnalysisService() this.label = service.analyze(words) }) } .padding(15) .height('100%') .width('100%') } } ### 2. Sentiment Analysis Service Class // Sentiment Analysis Service Class class SentimentAnalysisService { private positiveWords = ['good', 'satisfied', 'great', 'excellent', 'fast']; private negativeWords = ['bad', 'slow', 'expensive', 'awful', 'unsatisfied']; analyze(words: string[]) { let score = 0.5; words.forEach(word => { if (this.positiveWords.includes(word)) { score += 0.1; } if (this.negativeWords.includes(word)) { score -= 0.1; } }); score = Math.max(0, Math.min(1, score)); const label = score > 0.6 ? 'Positive' : score < 0.4 ? 'Negative' : 'Neutral'; return label; } } ## Conclusion This case demonstrates the method of using `@kit.NaturalLanguageKit` for text processing and implementing simple sentiment analysis in HarmonyOS. By creating components and a service class, we have implemented the functions of text input, word segmentation, and sentiment analysis. The key knowledge points include the creation of HarmonyOS components, state management, the use of asynchronous functions, and simple sentiment analysis algorithms. This method can serve as a foundation to expand more complex natural language processing functions.
forem.com
June 12, 2025 at 3:58 AM
Kreuzberg is a Python library offering asynchronous text extraction capabilities from various document formats, including PDFs, images, and office files, with local processing and...
https://github.com/Goldziher/kreuzberg
#textprocessing #pythonlibrary #ocr #documentextraction #fileconversion
February 15, 2025 at 6:09 PM
#APLQuest 2013-03: Write a function that returns the number of words in the given character scalar or vector (see apl.quest/2013/3/ to test your solution and view ours). #APL #WordCount #TextProcessing
APL Quest 2013-3: What Is In a Word
Write a function which returns the number of words in the given character scalar or vector.
apl.quest
October 20, 2025 at 1:14 PM
Regular expressions solve text processing problems elegantly. Find phone numbers, validate emails, extract data from messy text. Regex is cryptic but powerful. #RegularExpressions #TextProcessing
August 23, 2025 at 11:44 AM
Trying to clean up OCR errors in text files. Working great on some, not so great on others.

#ocr #textformatting #textfiles #textprocessing
January 25, 2026 at 12:57 PM