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Premier League LIVE: Chelsea vs West Ham United – preview, team news, stats, score & text commentary
Team News – Jorgensen starts for Chelsea; Bowen returns for West Hampublished at 18:57 Greenwich Mean Time
Chelsea v West Ham (20:00 GMT)
Image source, BBC Sport
Enzo Maresca makes two changes to the side that lost 3-1 to Manchester City last week as goalkeeper Robert Sanchez drops to the bench with Filip Jorgensen preferred between the sticks for the hosts.
Tosin Adarabioyo also returns to the starting line-up in place of Trevoh Chalobah. Nicolas Jackson continues to lead the line for Chelsea with Cole Palmer, Noni Madueke and Jadon Sancho all in support.
Chelsea XI: Jorgensen, Cucurella, Adarabioyo, Colwill, James, Fernandez, Caicedo, Madueke, Sancho, Palmer, Jackson.
Subs: Sanchez, Neto, Nkunku, Dewsbury-Hall, Chalobah, Gusto, George, Acheampong, Guiu.
Image source, BBC Sport
Graham Potter also makes two changes to the West Ham 11 that were held 1-1 by Aston Villa and the big news is that Jarrod Bowen starts, featuring for the first time since fracturing his foot in a defeat to Liverpool on 29 December.
But Lucas Paqueta misses out altogether for the visitors along with Andy Irving replacing injured Edson Alvarez in their midfield.
West Ham XI: Areola, Cresswell, Kilman, Coufal, Emerson, Wan-Bissaka, Irving, Bowen, Soucek, Soler, Kudus.
Subs: Fabianski, Foderingham, Mavrapanos, Guilherme, Ings, Rodriguez, Casey, Scarles, Orford.
Premier League LIVE: Chelsea vs West Ham United – preview, team news, stats, score & text commentaryIn one of the most anticipated matches of the season, Chelsea will take on West Ham United in a crucial Premier League clash. Both teams will be looking to secure three points in order to boost their respective positions in the table.
Team news:
– Chelsea will be without the services of key players such as N’Golo Kante and Reece James due to injury. However, they will have their star striker Romelu Lukaku back in action after recovering from a recent injury.
– West Ham United will also be missing a few players including Michail Antonio and Aaron Cresswell. However, they will be boosted by the return of Declan Rice who is set to start in midfield.Stats:
– Chelsea are currently sitting in 3rd place in the Premier League table with 45 points, while West Ham United are in 6th place with 39 points.
– Chelsea have won 5 out of their last 6 matches in all competitions, while West Ham United have won 3 out of their last 6 matches.Score prediction:
This match is expected to be a close and exciting encounter, with both teams having talented players in their ranks. However, Chelsea’s home advantage and recent form could give them the edge. Prediction: Chelsea 2-1 West Ham United.Text commentary:
Stay tuned for live text commentary of the match as we bring you all the action, goals, and updates from Stamford Bridge. Don’t miss out on this thrilling Premier League clash between Chelsea and West Ham United!
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Premier League, Chelsea vs West Ham United, live stream, match preview, team news, player stats, score updates, text commentary, EPL, London derby
#Premier #League #LIVE #Chelsea #West #Ham #United #preview #team #news #stats #score #text #commentaryIreland vs England LIVE: Six Nations rugby – score, radio commentary & text updates
Team News – Prendergast starts for Irelandpublished at 16:09 Greenwich Mean Time
Ireland v England (16:45 GMT)
Image source, Getty Images
Ireland’sSam Prendergast keeps his place in the starting XV at fly-half ahead of Jack Crowley, who played every minute of last year’s tournament.
Prendergast, 21, only made his debut in the autumn and has overcome a dead leg to start.
In the pack, Joe McCarthy has been ruled out so Ryan Baird is recalled to the back row and Tadhg Beirne switches to lock.
Finlay Bealham starts in place of the injured prop Tadhg Furlong, while hooker Dan Sheehan is on the bench after a long-term knee injury.
Ireland: 15-Keenan, 14-Hansen, 13-Ringrose, 12-Aki, 11-Lowe, 10-Prendergast, 9-Gibson-Park; 1-Porter, 2-Kelleher, 3-Bealham, 4-Ryan, 5-Beirne, 6-Baird, 7-van der Flier, 8-Doris (capt)
Replacements: 16-Sheehan, 17-Healy, 18-Clarkson, 19-Henderson, 20-Conan, 21-Murray, 22-Crowley, 23-Henshaw
Ireland vs England LIVE: Six Nations rugby – score, radio commentary & text updatesStay tuned for live updates as Ireland takes on England in a highly anticipated Six Nations rugby match. Follow along for the latest scores, radio commentary, and text updates as the action unfolds on the field. Who will come out on top in this thrilling showdown? Don’t miss a minute of the action – keep refreshing for all the latest updates! #IREvENG #SixNationsrugby
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- Ireland vs England Six Nations
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- Six Nations rugby match
- Ireland vs England match
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#Ireland #England #LIVE #Nations #rugby #score #radio #commentary #text #updates
Premier League LIVE: Six games including Nottingham Forest v Brighton, Everton v Leicester City, Bournemouth v Liverpool, Newcastle United v Fulham – radio commentary, live text and score updates
Nottingham Forest are winless in their last three Premier League meetings with Brighton (D1 L2), having been unbeaten in their previous eight top-flight matches against the Seagulls (W6 D2).
Brighton won this exact fixture 3-2 last season – they’ve never before won consecutive away league games against Nottingham Forest.
Nottingham Forest’s eight game unbeaten run came to an end last time out at Bournemouth, conceding more goals in that defeat (5) as they did in their previous seven Premier League games combined (4). Only once previously this season have they lost consecutive league matches, doing so in November against Newcastle and Arsenal.
Brighton’s six game unbeaten run was ended last time out at home to Everton. The Seagulls have won just two of their last 11 Premier League games (D6 L3) and could lose consecutive matches for the first time since ending last season with back-to-back defeats.
Nottingham Forest have won six of their last eight Premier League home games (D1 L1), with five of those six victories coming by a one goal margin. This is just the second time they are kicking off at 12:30 on a Saturday since their return to the Premier League, beating Liverpool 1-0 at the City Ground in October 2022 in their only previous game.
Brighton have scored the opening goal in 10 of their 12 Premier League away games this season (including in each of their last five), more than any other side. Meanwhile, Nottingham Forest have gone 1-0 up in 18 of their 23 league games overall this term, the most in the division.
Only Erling Haaland (17), Alexander Isak (16) and Mohamed Salah (14) have scored more non penalty goals in the Premier League this season than Nottingham Forest striker Chris Wood (12). Wood has scored more goals against Brighton (9) than he has against any other side in his English league career.
Brighton’s João Pedro has six goal involvements in his last eight away appearances in the Premier League (2 goals, 4 assists), also netting a brace at the City Ground back in November 2023.
The average distance of Nottingham Forest’s goal kicks in the Premier League this season has been 43.7 metres, the highest of any side, while 121 of those have ended in the attacking half, 26 more than any other team. By contrast, only three sides have taken goal kicks at a shorter average distance than Brighton this campaign (23.4 metres).
Nottingham Forest’s Ola Aina has taken 35 throw-ins that have ended in the opposition’s penalty area in the Premier League this season, seven more than any other player. In total, Forest have taken 56 throws that end in the opposition box, with only Brentford doing so more often (60).
Premier League LIVE: Six games including Nottingham Forest v Brighton, Everton v Leicester City, Bournemouth v Liverpool, Newcastle United v Fulham – radio commentary, live text and score updatesJoin us for a thrilling day of Premier League action as six exciting matches take place across the country.
Tune in for live radio commentary, real-time text updates and score updates as Nottingham Forest take on Brighton, Everton face off against Leicester City, Bournemouth go head-to-head with Liverpool, and Newcastle United battle it out with Fulham.
Stay tuned for all the goals, drama and excitement as the action unfolds. Don’t miss a minute of the action – follow along with us for all the latest updates!
#PremierLeague #LiveFootball #ScoreUpdates #RadioCommentary #TextUpdates
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Premier League, Nottingham Forest, Brighton, Everton, Leicester City, Bournemouth, Liverpool, Newcastle United, Fulham, radio commentary, live text, score updates, live stream, match highlights, English football, EPL, soccer, sports commentary.
#Premier #League #LIVE #games #including #Nottingham #Forest #Brighton #Everton #Leicester #City #Bournemouth #Liverpool #Newcastle #United #Fulham #radio #commentary #live #text #score #updatesNatural Language Processing with Python: Analyzing Text with the Natural Languag
Natural Language Processing with Python: Analyzing Text with the Natural Languag
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Natural Language Processing (NLP) is a fascinating field that involves the interaction between computers and human language. With the help of Python, we can leverage powerful libraries such as Natural Language Toolkit (NLTK) and spaCy to analyze and process text data.In this post, we will delve into the world of NLP with Python and explore how we can analyze text using these libraries. From tokenization and part-of-speech tagging to sentiment analysis and named entity recognition, we will cover a range of techniques that can help us gain valuable insights from text data.
Whether you’re a beginner looking to learn the basics of NLP or an experienced data scientist looking to enhance your text analysis skills, this post will provide you with the tools and knowledge you need to get started with Natural Language Processing in Python.
Stay tuned for more updates and tutorials on NLP with Python! #NLP #Python #TextAnalysis
#Natural #Language #Processing #Python #Analyzing #Text #Natural #Languag,natural language processing with python and spacy: a practical introductionCoworker’s text tipped Mega Millions player to realize he won $1.2 million – NBC Los Angeles
A Southern California man realized he won $1.2 million in the California Lottery Mega Millions after a coworker jokingly texted him about winning.
Michael Chavez said it all happened on election night, Nov. 5, which was also the drawing for the $303 million jackpot.
“I actually woke up in the middle of the night to check the election results to see who won for president, not Mega Millions,” Chavez told the California Lottery.
Chavez said he went back to sleep, but later that morning he remembered he forgot to tell his coworkers that he would not be at work. He then received a funny but life-changing text from his coworker.
“He kidded me if the reason I wasn’t at work was because I had won the million. He even jokingly congratulated me,” Chavez said.
The coworker had even sent him a screenshot of the Mega Millions results.
After taking a close look at the screenshot, Chavez realized he did win the lottery, matching five of the six numbers, a total of $1,214,818.
“I could not believe my eyes,” said Chavez.
The Mega Millions ticket was purchased at Lake Liquor in Lakewood, who will also get $6,000 for selling the winning ticket. The winning numbers for that drawing were 2-24-25-52-58 and the Mega number was 9.
Chavez said had it not been for that text, he doesn’t know when he would have checked the ticket.
“I’ll never forget election night or especially that text,” he said.
“Text from Coworker Leads Mega Millions Player to $1.2 Million Jackpot Win!”
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coworker, text, Mega Millions, $1.2 million, winner, lottery, jackpot, NBC Los Angeles, lucky, news, celebration
#Coworkers #text #tipped #Mega #Millions #player #realize #won #million #NBC #Los #AngelesNatural Language Processing with Python: Analyzing Text with the Natural Languag
Natural Language Processing with Python: Analyzing Text with the Natural Languag
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Natural Language Processing (NLP) is a field of study that focuses on the interaction between computers and humans using natural language. Python, with its robust libraries and tools, is a popular choice for NLP projects. In this post, we will explore how to analyze text using the Natural Language Toolkit (NLTK) in Python.
NLTK is a comprehensive library for building NLP applications in Python. It provides easy-to-use interfaces to over 50 corpora and lexical resources, such as WordNet and the Brown Corpus. NLTK also includes a wide range of tools for tokenizing, stemming, tagging, parsing, and classifying text data.
To get started with NLTK, you first need to install the library using pip:
pip install nltk<br /> ```<br /> <br /> Once NLTK is installed, you can import it into your Python code and start analyzing text. Here is a simple example of how to tokenize a sentence using NLTK:<br /> <br /> ```python<br /> import nltk<br /> from nltk.tokenize import word_tokenize<br /> <br /> sentence = "Natural Language Processing is fascinating!"<br /> tokens = word_tokenize(sentence)<br /> <br /> print(tokens)<br /> ```<br /> <br /> This code snippet will tokenize the sentence into individual words and print them out. NLTK provides various tokenizers for different types of text data, such as word tokenizers, sentence tokenizers, and regular expression tokenizers.<br /> <br /> NLTK also offers tools for part-of-speech tagging, named entity recognition, sentiment analysis, and more. By leveraging NLTK's capabilities, you can build powerful NLP applications that can extract valuable insights from text data.<br /> <br /> In conclusion, Natural Language Processing with Python and NLTK is a powerful combination for analyzing text data. Whether you are working on sentiment analysis, text classification, or information extraction, NLTK provides the tools you need to succeed. So, dive into the world of NLP with Python and start exploring the endless possibilities of text analysis.
#Natural #Language #Processing #Python #Analyzing #Text #Natural #Languag,natural language processing with python and spacy: a practical introduction
Natural Language Processing with Python: Analyzing Text with the Natural Lan…
Natural Language Processing with Python: Analyzing Text with the Natural Lan…
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guage ToolkitNatural Language Processing (NLP) is a field of study that focuses on the interaction between computers and human language. With the advancements in technology, NLP has become an essential tool for various applications such as sentiment analysis, chatbots, and machine translation.
One of the most popular libraries for NLP in Python is the Natural Language Toolkit (NLTK). NLTK provides tools and resources for processing human language data, making it easier to work with text in Python.
In this post, we will explore how to analyze text using NLTK in Python. We will cover topics such as tokenization, part-of-speech tagging, and named entity recognition. By the end of this post, you will have a better understanding of how NLP can be used to extract meaningful information from text data.
Stay tuned for our upcoming tutorials on NLP with Python using NLTK! #NLP #Python #NLTK #TextAnalysis
#Natural #Language #Processing #Python #Analyzing #Text #Natural #Lan..,natural language processing with python and spacy: a practical introductionEuropa League LIVE: FCSB vs Manchester United, Tottenham Hotspur vs Elfsborg, Rangers vs Union Saint-Gilloise – live text and score updates
Tottenham team news: Van de Ven startspublished at 18:54 Greenwich Mean Time
Tottenham v Elfsborg (20:00 GMT)
The big – and very welcome – news from the Tottenham dressing room is the return of Netherlands defender Micky van de Ven who has been out with an injury since 8 December.
There are three changes from the side that started the 2-1 home defeat to Leicester last Sunday.
Also coming into the side is goalkeeper Brandon Austin for the ineligible Antonin Kinsky and 17-year-old Mikey Moore for Dejan Kulusevski.
Van de Ven is in for Radu Dragusin.
Tottenham XI: Austin, Porro, Van de Ven, Davies, Gray, Bergvall, Bentancur, Sarr, Moore, Richarlison, Son.
Subs: Forster, Whiteman, Cassanova, Dragusin, Hardy, Bissouma, Olusesi, Kyerematen, Ajayi, Kulusevski, Scarlett, Lankshear.
Elfsborg XI: Petterson, Holmen, Henriksson, Yegbe, Hedlund, B Zeneli, Thomasen, Hult, Rapp, Abdullai, Qasem.
Subs: Uppenberg, Sorensen, Aronsson, A Zeneli, Gudmundsson, Holten, Larsson, Frick, Kaib, Richtner, Ostman, Ibrahim.
Europa League LIVE: FCSB vs Manchester United, Tottenham Hotspur vs Elfsborg, Rangers vs Union Saint-Gilloise – live text and score updatesWelcome to our live coverage of the Europa League matches featuring FCSB vs Manchester United, Tottenham Hotspur vs Elfsborg, and Rangers vs Union Saint-Gilloise. Stay tuned as we bring you live text commentary and score updates from all three games.
FCSB vs Manchester United:
– Kick-off: 20:00 GMT
– FCSB starting XI: TBA
– Manchester United starting XI: TBATottenham Hotspur vs Elfsborg:
– Kick-off: 20:00 GMT
– Tottenham Hotspur starting XI: TBA
– Elfsborg starting XI: TBARangers vs Union Saint-Gilloise:
– Kick-off: 20:00 GMT
– Rangers starting XI: TBA
– Union Saint-Gilloise starting XI: TBAStay with us as we bring you all the action from these exciting Europa League matches. Let’s see which teams will come out on top tonight! #EuropaLeague #FCSB #ManchesterUnited #TottenhamHotspur #Elfsborg #Rangers #UnionSaintGilloise
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- Europa League
- FCSB vs Manchester United
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- FCSB vs Man Utd live score
- Spurs vs Elfsborg live stream
- Rangers vs Union Saint-Gilloise live updates
- Europa League matchday
- Europa League fixtures
- Europa League highlights
- Europa League latest scores
#Europa #League #LIVE #FCSB #Manchester #United #Tottenham #Hotspur #Elfsborg #Rangers #Union #SaintGilloise #live #text #score #updates
Natural Language Processing with Python: Analyzing Text with the Natural by Bird
Natural Language Processing with Python: Analyzing Text with the Natural by Bird
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Natural Language Processing (NLP) is a fascinating field that involves the interaction between computers and human language. With the help of Python, one can easily dive into the world of NLP and start analyzing text data. One of the most popular tools for NLP in Python is the Natural Language Toolkit (NLTK) created by Steven Bird.In this post, we will explore how to use NLTK to analyze text data and perform various NLP tasks such as tokenization, stemming, lemmatization, part-of-speech tagging, and sentiment analysis. We will also learn how to work with text corpora and build our own NLP models using NLTK.
NLTK provides a wide range of functionalities for processing and analyzing text data, making it a powerful tool for NLP tasks. By following the examples and tutorials in Bird’s book “Natural Language Processing with Python,” you can gain a solid understanding of NLP concepts and techniques and start applying them to real-world projects.
So, if you are interested in delving into the exciting world of Natural Language Processing with Python, be sure to check out Bird’s book and start exploring the possibilities of NLP!
#Natural #Language #Processing #Python #Analyzing #Text #Natural #Bird,natural language processing with python and spacy: a practical introductionNatural Language Processing with Python : Analyzing Text with the Natural Langua
Natural Language Processing with Python : Analyzing Text with the Natural Langua
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ge Toolkit (NLTK)In this post, we will explore the world of Natural Language Processing (NLP) using Python and the Natural Language Toolkit (NLTK). NLP is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language. NLTK is a powerful library in Python that provides tools for processing and analyzing text data.
We will cover the following topics in this post:
1. Introduction to Natural Language Processing and NLTK
2. Tokenization: Breaking text into words or sentences
3. Stopwords removal: Removing common words that do not carry much meaning
4. Stemming and Lemmatization: Reducing words to their root form
5. Part of Speech Tagging: Identifying the grammatical components of a sentence
6. Named Entity Recognition: Identifying names of people, organizations, and locations in text
7. Sentiment Analysis: Analyzing the sentiment or emotion expressed in textBy the end of this post, you will have a solid understanding of how to use Python and NLTK for analyzing text data and extracting valuable insights. Stay tuned for more exciting content on Natural Language Processing with Python!
#Natural #Language #Processing #Python #Analyzing #Text #Natural #Langua,natural language processing with python and spacy: a practical introduction