#textanalysis

[interpol-nyc-documents-blog]

Obstacle 2 – A look at the formal & phonetic structure of the lyrics Part I

A look at the formal and phonetic structure of Paul Banks' lyrics in Interpol song Obstacle 2 reveals that Banks uses many systematic, although not particularly consistent, ways, which are similar in lyric poetry and rapping, to enhance the memorability of lyrics and to make them more cohesive.

Banks' poetic lyrics are often in the form of confessional, not always conscious, stream of thought, and they express a constant urge towards the Other involved in the personal relationship. He deals with angst, love, sex and fear, even vulnerability, but mostly it is set in this monology of thought, which is revelatory about a relationship between two people. Banks uses everyday contemporary urban American English and is often playful with how he uses the language. I think that the way he uses metre and rhyme schemes do not only make the lyrics memorable and cohesive, but these techniques connect the text to the music, to the melody and rhythm as well as being expressive of the atmosphere of the song and the text itself

  Obstacle 2 is from Interpol's first album called Turn on the Bright Lights released in 2001. The lyrics from the first verse of the song read:

  I'm gonna pull you in close

gonna wrap you up tight

gonna play with the braids

that you came here with tonight

I'm gonna hold your face

and toast the snow that fell

because friends don't waste

wine when there's words to sell

  –       First verse from Obstacle 2, Lyrics by Paul Banks

  Now we can look more closely what are the formal qualities of this text. The lines are cut differently than they are printed in the Japan album insert. I took the liberty because Banks has himself said that he works from the music and then it is only natural to cut the lines according to the vocal melody. This actually reveals much better how the text works formally as well as phonetically. Every other line has at its ending either a consonance/assonance or a strict rhyme. Strict rhyme has the most powerful effect phonetically and here it strongly binds every other line together. We can call these lines with strict rhyme 'A'. Lets look it by deleting every other line which do not have strict rhyme at the end, the underlining marks the strict rhyme:

             gonna wrap you up tight  =phonetic representation [a I t] 

that you came here with tonight  = [a I t] 

and toast the snow that fell  = phonetic representation [e l]

wine when there's words to sell  = [e l]

  The rhyming also puts weight on these specific words. The consonance appears in the first line and then on the third line. Consonance, which can be called 'C' in this case, is a way of sound patterning where the end of the word, called coda, is repeated in the parallel word's coda:

  I'm gonna pull you in close  = phonetic repr. [s], the 'e' being silent

gonna play with the braids  =  [s]

  Lastly we have the case 'B', which is on the last words of the lines five and seven, called assonance, which involves only the middle of the word, called nucleus. Assonance has actually stronger impact than consonance, but weaker than strict rhyme:

  I'm gonna hold your face  = phonetic repr. [e I]

because friends don't waste  = [e I]

  Now we can find the rhyme scheme Banks has used in this verse of the song, employing different types of rhyme. The scheme is 'CACABABA':

  C  I'm gonna pull you in close

A  gonna wrap you up tight

C  gonna play with the braids

A  that you came here with tonight

B  I'm gonna hold your face

A  and toast the snow that fell

B  because friends don't waste

A  wine when there's words to sell

  Although this is not a traditional rhyme scheme it is very architectural in a way, very strict. There is certain commanding pathos to it. It is merciless in its urge which the rhyming expresses. This mercilessness becomes even more apparent when the metre is taken into account. Metre creates the rhythm of the stanza. This systematic rhyme scheme does not certainly mean that Banks used it consciously. People who are gifted with words, especially writers and poets, do not have to work methodically, because intuition and creativeness is enough, and even rhyme schemes and metre can appear in a creatively produced text almost without any conscious effort. This does not mean that it is easy, or that anyone can do it. You have to be completely accustomed with the world of words and language in order to be successful.

  Part two about syllabic structure and vocal delivery in these lyrics to follow shortly.

Analysis by:

Interpol Documents ©️

[sudarshannarwade]

NLP Tools for Text Analysis

NLP tools automate the analysis of text for patterns and sentiments.

They include features for text mining, sentiment analysis, and language interpretation.

Key tools offer scalability, accuracy, and integration with various platforms.

Used widely in marketing, finance, healthcare, and research. read more

[alkirachristopher]

Vee Technologies' Natural Language Processing Services

Using token classification, entity and relation extraction, named entity recognition (NER), entity classification, and contextual analysis, our NLP services can accomplish a wide variety of tasks for your organization.

Explore More: https://www.veetechnologies.com/services/it-services/artificial-intelligence/natural-language-processing.htm

[veetechnologies-it]

Vee Technologies' Natural Language Processing Services

Using token classification, entity and relation extraction, named entity recognition (NER), entity classification, and contextual analysis, our NLP services can accomplish a wide variety of tasks for your organization.

Explore More: https://www.veetechnologies.com/services/it-services/artificial-intelligence/natural-language-processing.htm

[shywolfcycle]

30 Hilarious Times One Wrong Text Wrecked A Group Chat’s Peace 

While being part of group chats, he also had some of them blow up due to people getting into fights and making it awkward for everyone. “That's partly what inspired the question I posed. I think people do have a tendency to behave a little more extremely in virtual settings, which probably contributes to the breakup of certain chats.”

When it comes to sharing information in group chats, Miles believes that the boundaries of what people talk about in them should be determined by their relationship. “You can probably feel safe saying just about anything in a chat with friends you've had for years, because you know that any misunderstandings can be worked through,” he says.

But if there’s just a group of practically strangers from the internet, there’s a potential to cross the line, Miles says. “I think it's nice to have places where you can say something in confidence that you wouldn't necessarily say in public, but there should be mutual trust for that to happen—just like in any good friendship.”Readmore

[blueseotools]

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[writerdanielle]

Unlock the potential of ethical text analysis with the Doxfore5 Python code. Our step-by-step guide simplifies the process, ensuring a seamless journey to insightful analysis

[techninja]

Unleashing the Potential: Exploring the Natural Language Processing (NLP) Market

Natural Language Processing (NLP) technology is revolutionizing the way we interact with machines and process vast amounts of textual data. From virtual assistants to sentiment analysis tools, NLP is reshaping industries across the globe. The NLP market is experiencing unprecedented growth, fueled by advancements in artificial intelligence and the increasing demand for sophisticated language understanding capabilities.

One of the key drivers of the NLP market is the exponential growth of unstructured textual data. With the proliferation of social media, online reviews, and customer feedback, organizations are inundated with vast amounts of text that hold valuable insights. NLP enables machines to understand and interpret this data, extracting actionable insights and improving decision-making processes.

In the healthcare sector, NLP is revolutionizing patient care and clinical research. By analyzing medical records, NLP algorithms can identify patterns and trends, aiding in diagnosis and treatment planning. Similarly, in the financial industry, NLP is used for sentiment analysis of news articles and social media posts, helping traders make informed investment decisions.

The rise of virtual assistants and chatbots is another significant driver of the NLP market. These AI-powered tools leverage NLP technology to understand user queries and provide relevant responses in natural language. From customer service to personalized recommendations, virtual assistants are becoming ubiquitous across various industries, driving the demand for NLP solutions.

Moreover, the advent of deep learning techniques has significantly enhanced the capabilities of NLP systems. Deep learning algorithms, such as recurrent neural networks (RNNs) and transformers, enable machines to grasp the nuances of human language with unprecedented accuracy. As a result, NLP applications are becoming more sophisticated, capable of understanding context and generating human-like responses.

Looking ahead, the future of the NLP market is promising. As organizations increasingly rely on data-driven insights to gain a competitive edge, the demand for NLP solutions will continue to grow. Key market players are investing in research and development to develop more advanced NLP algorithms and applications, catering to the evolving needs of businesses across industries. In summary, the NLP market is poised for remarkable expansion, driving innovation and transforming the way we interact with technology.

[creolestudios]

Efficient Transcription Analysis Using ChatGPT: Learn how to leverage ChatGPT for transcription analysis. Explore AI-driven transcription solutions for enhanced productivity.

[forensic-linguistics]

Title: Introduction to Forensic Linguistics: Unravelling Crimes Through Language

Introduction

Forensic linguistics, the application of linguistic techniques to investigate crimes where language data forms part of the evidence, has emerged as a crucial tool in modern law enforcement. With its roots in anthropology, psychology, sociology, and political science, the field has seen significant growth since the 1980s, with linguists now actively involved in matters such as voice identification and authorship profiling. This blog aims to introduce you to the central principles of forensic linguistics and its two main areas of focus: voice identification and author profiling.

Voice Identification (Forensic Phonetics)

Voice identification, also known as forensic phonetics, deals with analysing audio and video recordings to identify speakers. Its relevance has surged in recent years with the increasing reliance on such recordings in criminal trials. Key aspects of voice identification include:

1. Speaker Profiling: Linguists aim to narrow down the list of suspects by analysing speaker characteristics, such as age, regional background, individual peculiarities, and linguistic style.

2. Speaker Identification: By combining auditory and acoustic analysis, linguists determine whether a particular voice belongs to a known individual, helping establish a person's involvement in a recorded conversation or call.

3. Technical Issues: Linguists also address technical challenges like enhancing recording quality, transcribing intelligible speech from noisy audio, and investigating possible tampering with recordings.

4. Voice Lineups: Witnesses are presented with recordings of potential suspects to identify the perpetrator's voice based on characteristics like pitch or breathiness.

Author Profiling (Forensic Stylistics)

Author profiling, or forensic stylistics, focuses on determining the author of a particular text by comparing it with known writing samples. Linguists play a critical role in analysing forensic texts, which include various written or recorded messages used in criminal investigations, such as:

1. Emergency Calls: Linguists analyse urgent calls to identify specific features related to the incident and the caller's attitude.

2. Ransom Demands or Threat Texts: Linguistic profiling is employed to identify anonymous senders and assess potential threats.

3. Hate Mails: The goal is to distinguish genuine threats from expressions of hatred without actual intent to harm.

4. Suicide Letters: Linguists analyse suicide notes to ascertain the author's true intentions.

Linguistic Features in Author Profiling

Linguists rely on two central linguistic parameters—lexis (vocabulary) and grammar—when conducting author profiling. By identifying peculiarities and non-standard usages, linguists can narrow down a suspect list or positively identify an author. Examples include misspellings, omissions, unusual punctuation, and lexical choices.

Conclusion

Forensic linguistics has become an invaluable discipline in modern criminal investigations, shedding light on voice identification and author profiling. By utilising linguistic techniques to examine language data, forensic linguists assist law enforcement in narrowing down suspects, validating audio recordings, and determining the authors of written texts. The field continues to evolve, and practical analysis of real forensic data provides invaluable insights for aspiring forensic linguists.

[repaymedia]

Detecting AI Generated Text

Discover the secret to distinguishing between human creativity and AI sophistication. Learn how AI models like GPT-3 and GPT-4 work and generate content, and how to spot the subtle giveaways of AI text generation. Whether you're a student, researcher, content creator, or just a tech-enthusiast, this comprehensive guide will enrich your understanding of the latest advances in artificial intelligence and their implications for digital communication. Join us for an in-depth exploration and become an expert at detecting AI-generated text. Stay tuned till the end for a practical demonstration and a quiz that will test your new skills! Don't forget to like, share, and subscribe to our channel for more educational content about artificial intelligence and machine learning.

Top Ai Detection tools

1. Originality.ai - https://originality.ai/

2. GPT Zero

3. OpenAi Text classifier - https://openai.com/blog/new-ai-classi...

4. content scale - https://contentatscale.ai/

5. Writer.ai

6. Sapling.ai

[aicentury]

تحليل النصوص أصبح أسهل مع Humata! 🧠✨ استكشف قدرات الذكاء الاصطناعي الآن على:

**English:**

"Text analysis just got easier with Humata! 🧠✨ Explore the power of AI now! #AI #Technology #TextAnalysis"

**French:**

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**Spanish:**

"¡El análisis de textos se ha vuelto más fácil con Humata! 🧠✨ ¡Explora el poder de la IA ahora! #IA #Tecnología #AnálisisDeTexto"

**German:**

"Die Textanalyse ist mit Humata einfacher geworden! 🧠✨ Entdecke jetzt die Kraft der KI! #KI #Technologie #Textanalyse"

**Italian:**

"L'analisi dei testi è diventata più facile con Humata! 🧠✨ Scopri ora la potenza dell'IA! #AI #Tecnologia #AnalisiDelTesto"

**Chinese (Simplified):**

"使用Humata，文本分析变得更加容易！🧠✨ 现在探索AI的力量！#人工智能 #技术 #文本分析"

#AI #تقنية #تحليل_نصوص

[shywolfcycle]

Navigating the Emotional Landscape of Love in the Digital Age

These days, people fall in love and form connections not only in person, but also through screens, texts, and online posts. The 20 pictures below show different feelings, from the happiness of a new love to the pain of a broken heart, all through unique notes, messages, and expressions. All of them together give a clear picture of how deeply digital communication changes relationships.Readmore

[sirenofthegreenbanks]

n, o, t, z for the fandom ask game 😁

n: Name three things you wish you saw more of in your main fandom (or a fandom of choice).

this question had me think for a bit, im mostly content with whats going on in the fandoms i participate in, buuuuuuuuuuut then i recalled:

1) i once watched a video essay on ning yi that really impressed me. (i just searched the internet up and down to link it but i cant!!! find it!!!! whatt iisss thissss) anyway, i want more of that!!! for rise of pheonixes fandom, but also for WOH and for TYK!!! i neeeeeeeeEEEed it

2) generally more academic-approached textanalysis for tian ya ke. im dYING to read something like that!

3) for the fics i would like to request MESSINESS in regards to zhou zishu and wen kexing respectfully, thank u (BONUS IF THEY HAVE AFFAIRS ON THE SIDE OR SLEEP AROUND)

o: Choose a song at random. Which ship or character does it remind you of?

i threw a dart and it landed on this which reminds me of wen kexing in that moment in the novel when hes gearing up to slaughter mo huaiyang and hes all exhausted and bleeding but he needs to avenge his a-xiang‘s silly little husband. (i lied i dont have darts. i clicked next in my epic orchestral music playlist and this is what showed up.)

(while im typing this this started playing and now im thinking about elizabeth swan ,, ,,,, im so gay)

t: Do you have any hard and fast headcanons that you will die defending? 

the headcanon i told u last night, about zzs and ljx! i dare u to reread qiye!!! come fight meeeeeeee!!!!!

z: Just ramble about something fan-related, go go go! (Prompts optional but encouraged.)

UM. ive always been very passionate about fictional characters and fictional worlds. when we were kids i would share comics with my brother and we would read them together, when i grew out of my childhood books my sister inherited them and grew to love them just as much as i do. my mom is not a tokio hotel fan per se, and she doesnt watch the same shows or read the same books as me, but we tell each other what we are currently invested in and she loves seeing what i create. fandom can looks like anything, it can be small and offline and familiar and private like what i just described, or it can be subscribing to magazines and read the fan theories and fan letters that are published in it. it can be organizing big events like conventions and forge a bridge between fans and the source material. it can be a community on social media like here on tumblr. but its in its essence all the same, people—sometimes literal strangers— forming connections to eachother simply because they are all in some way moved by the same thing, generating new thought and creativity everyday and cultivating a culture of communication and cultural exchange, entirely seperate from our capitalist society, and i think thats really beautiful

fandom ask game

[finance-pro]

What is Chat GPT and how to it works?

OpenAI's ChatGPT is a big language model that produces responses to textual cues in natural language that resemble those of humans. It belongs to the GPT (Generative Pre-trained Transformer) family of models, which are made to comprehend and produce writing that resembles what a human would write by foretelling the next word in a string of text.

Based on its training on a vast corpus of text, ChatGPT processes the input prompt and generates a string of words that are likely to follow the prompt. It makes use of a transformer architecture, which enables it to recognize the connections between words in a phrase and produce logical, contextually relevant responses.

The model has been pre-trained on enormous volumes of text data, including web pages, books, and articles, to learn linguistic patterns and structures. The model gains the ability to forecast the most likely term given the words that have come before it during the training phase. Because of this method, it may respond to various inputs and topics, from simple talks to more involved debates.

ChatGPT generates a response when a user enters a text prompt using the information it has learned. The model produces a list of words, which decoding algorithms translate into natural language responses. These algorithms construct a meaningful phrase that is grammatically sound and appropriately contextualized by choosing the words that are most likely to occur together.

Learn more about Chat GPT here.