“Do more, with less”.
Hamlet Batista
“Work once, infinitely repeat, for free… almost.”
Elias Dabbas
Extractive Text Summarization with BERT Extractive Summarizer involves summarizing an article with the extracted key information via BERT natural language model. Extractive summarization is to provide decreased memory usage while protecting the content’s value. Information about the content is protected via extractive summarizers. BERT is used to understand human languages via RNN, Attention mechanisms, and …
NLTK Wordnet can be used to find synonyms and antonyms of words. NLTK Corpus package is used to read the corpus to understand the lexical semantics of the words within the document. A WordNet involves semantic relations of words and their meanings within a lexical database. The semantic relations within the WordNet are hypernyms, synonyms, …
NLTK Lemmatization is the process of grouping the inflected forms of a word in order to analyze them as a single word in linguistics. NLTK has different lemmatization algorithms and functions for using different lemma determinations. Lemmatization is more useful to see a word’s context within a document when compared to stemming. Unlike stemming, lemmatization …
NLTK Stemming is a process to produce morphological variations of a word’s original root form with NLTK. Stemming is a part of linguistic morphology and information retrieval. The root of the stemmed word has to be equal to the morphological root of the word. Stemming algorithms and stemming technologies are called stemmers. Natural Language Tool …
To tokenize sentences and words with NLTK, “nltk.word_tokenize()” function will be used. NLTK Tokenization is used for parsing a large amount of textual data into parts to perform an analysis of the character of the text. NLTK for tokenization can be used for training machine learning models, Natural Language Processing text cleaning. The tokenized words …
BERTopic is a topic clustering and modeling technique that uses Latent Dirichlet Allocation. Bertopic can be used to visualize topical clusters and topical distances for news articles, tweets, or blog posts. Bertopic can be installed with the “pip install bertopic” code line, and it can be used with spacy, genism, flair, and use libraries for …
To save a web page and website into an internet archive in bulk, Python can be used. There are multiple methods to save a link to an internet archive, such as using email with a URL list or submitting a URL to the internet archive’s Wayback Machine manually. To save a website completely to the …
Translating a data frame is the process of changing a data frame values’ language to another language without changing the context, meaning, or content. Translating a Pandas Data Frame with Python can be done with Google’s “googletrans” library. In this article, I will crawl a website by taking its semantic content into a data frame …
Downloading all images from a website can be done by downloading all of the websites, or crawling all of the websites and extracting all of the “<img>” HTML Elements’ “src” attributes’ values. Usually, scraping and downloading images from websites is important and necessary for image optimization, compression, or writing alt tags with AI or the …
This article has been prepared as a tutorial to show how to Retrieve Google SERP with regular periods, animate the differences to see Google Search Engine’s preference and experiment algorithms. In this article, we will use Semantic Search Queries to understand the topical coverage and topical authority of certain domains. We will retrieve all of …
Some months ago I wrote an article on my blog and I had the pleasure to give a webinar with Hamlet Batista about how you can categorize websites based on the topic with Python by using Google NLP API, google trans, and cloudscraper. I approach this article like a second part of that post to …
Word Cloud is a visualization technique that works for showing the most important thematic words in harmony from a group of words within a context. Word Clouds can be used to show the most important terms from the customer reviews or contents of the customers. Word Clouds Comparison may help to detect the differences for …
Listing files in a directory with Python means that taking names of the files in a folder via Python modules and scripts. During any kind of Python and Coding Project, taking the names of the files in a folder can be useful. Taking only a certain type of file, certain types of files that are …
Google Knowledge Graph produces Knowledge Panels for entities that are reliable and have enough “Search Demand”. Knowledge Panels that appear in SERP show the relationships of related entities and how Google interprets the character of queries and search intent. More information is available on Knowledge Graph and Knowledge Panel features that are of great value …
A knowledge graph is a graph that consists of different types of entities and their connection to each other. Search Engines create a Knowledge Graph while crawling the web so that they can easily detect the relations between entities and understand the purpose of the web page or relevance of the web page for certain …
There are many Python Modules available that can be used to crawl a website in all aspects on a large scale. Custom scripts that can be written in modules such as Scrapy, BeautifulSoup, and Requests will be sufficient in this regard. However, there is a problem that there is no Python Module or a scripting …
A sitemap is the name of an XML File that collects URLs that must be indexed by the Search Engine on a website. Sitemap Files can contain data on URL Categories, URL publishes date, URL content, content-language, content author, subject, etc. An experienced Holistic SEO can analyze a website even manually through Sitemaps. In this …
The robots.txt file is a text file with the “txt” extension in the root directory of the website that tells a crawler which parts of a web entity can or cannot be accessed. Thanks to “robots.txt” files, website owners can control the crawlers of Search Engines so that they can index only the necessary information …
Robots.txt file is a text file that tells how a crawler should behave when scanning a web entity. Even the slightest errors in the Robots.txt file in the root directory can put many SEO Projects at risk. Therefore, checking and editing the Robots.txt file for a web entity is one of the most important tasks. …
URL Parameters are important for SEO and Search Engine Crawlers. Different parameters can have different functions and meanings for both users and Search Engines. Complex URL Parameters can confuse the Search Engine’s Algorithms and create Ranking Signal Dilution in terms of SEO. Also, using and creating unnecessary repetitive and duplicate content with looping products, services …
Reverse DNS Lookup is to check whether the same IP address will be obtained as a result by making a request to the Domain Name Server obtained in a request made to an IP address. The main purpose of this process is to see if the client’s IP Address is as shown to the server. …
When it comes to SEO, spelling errors, word errors, inverted sentences are factors that affect the user experience and damage the publisher’s expertise. Google Algorithm has been competing since the era of Panda and RankBrain Algorithms to spot both “stemming” and spelling errors, correct them, and rewrite queries. Google has also released a style guideline …
Text or content is a written source that conveys certain information in a certain structure, emotion and voice, and with different methodologies. Each piece of writing can be perceived as better with a specific subject in different aspects. Using different spelling techniques, sentence structures, or using different words makes the two texts on the same …
TF-IDF Analysis is one of the oldest methodologies to understand the context. Calculating the weights of a word in a document can help SEOs to understand documents on a SERP for a specific query or a web entity’s content structure and methodology. TF-IDF or Term Frequency and Inverse Document Frequency is useful to extract the …
Every query has different aspects in terms of entity profile, user, and search intent or its word counts. Thanks to queries (keywords or search terms), a Holistic SEO can understand how people think, what people care about, or what people fear, desire, or seek. According to the queries, the Search Engine Results Page (SERP) can …
Sitemaps are the XML Files that include all URLs website owner wants Search Engines to index. Since all of those URLs are wanted to be indexed, they all need to be crawlable and working URLs with a solid “OK” and “200” HTTP Status Code. Including URLs with Non-200 Status Code is an incorrect practice. It …
“People Also Ask” Questions is one of the most important guides of Holistic SEOs. People Also Ask (PAA) Questions on the SERP shows the questions which are the most relevant with the search term. Understanding the search intent and user intent, different sides of the topic can be easier via PAA. In addition to these, …
Google Trend is an application of Google which shows the search terms’ trends over time for different geographies. It shows real-time search trends and daily search trends for every city in the world. Thanks to Google Trend, understanding the users’ intent through different seasons for different queries is easier. Also, real-time events and real-world entities …
Image manipulation, optimization and resizing or downscaling, color type changing, or other kinds of image-related processes have value for SEO, UX, Page Speed, and Bandwith. Because of those motivations, Image Compression Algorithms are developed every year. In this article, we will focus on how to resize multiple images in bulk with Python. For multiple images …
On a website, usually, the most expensive resource is Javascript. The most expensive source after javascript is images for a browser. Visual optimization is one of the most important factors for page loading speed and user experience along with SEO. One of the quick actions that can be taken to make a web page faster …