Fedspeak? Or just another Bag of Words?

This article introduces the “FedTools” Python package, providing a practical implementation of a basic Bag of Words algorithm.

The final figure. Now we can use the buttons and drop-down menu to select items and time-periods of interest. Image created by Author.

TL DR: Github Repo and FedTools package.

So, what is Fedspeak?

“Fedspeak”, otherwise known as “Greenspeak”, was initially termed by Alan Blinder to describe the “turgid dialect of English” used by Federal Reserve Board chairpeople when making vague, noncommittal or ambiguous statements. Over recent years, Federal Reserve policy communications have evolved dramatically, owing to increases in natural language processing (NLP) capabilities of Financial Institutions world over.

#federal-reserve #nlp #naturallanguageprocessing #python #bag-of-words

What is GEEK

Buddha Community

Fedspeak? Or just another Bag of Words?

This article introduces the “FedTools” Python package, providing a practical implementation of a basic Bag of Words algorithm.

The final figure. Now we can use the buttons and drop-down menu to select items and time-periods of interest. Image created by Author.

TL DR: Github Repo and FedTools package.

So, what is Fedspeak?

“Fedspeak”, otherwise known as “Greenspeak”, was initially termed by Alan Blinder to describe the “turgid dialect of English” used by Federal Reserve Board chairpeople when making vague, noncommittal or ambiguous statements. Over recent years, Federal Reserve policy communications have evolved dramatically, owing to increases in natural language processing (NLP) capabilities of Financial Institutions world over.

#federal-reserve #nlp #naturallanguageprocessing #python #bag-of-words

FIBC/Jumbo Bags manufacturer & suppliers in India - Alpine FIBC Pvt Ltd

Bulk bags are a popular packaging solution for large quantities of products such as aggregates and waste. They have many names including, ton bags, garbage bags, FIBC, builders bags
The range of sizes and specifications of bulk bags is wide and each type will suit a different use. Specifications can also be quite detailed and technical, which can sometimes make it difficult to determine what type will be needed for the required use.
When deciding on the correct type of FIBC, the following points should be considered;

• Physical or chemical properties of the product intended to ent****er the bulk bag, such as:
  • Required volume
  • Weight of the product to contain
  • Bulk Density
  • Characteristics of the content flow
  • Degree of aeration.
  • Particle shape and size
  • filling temperature
  • If food grade is required
• FIBC filling, handling, transport, storage and emptying methods.
  See below for a complete summary of the terms of this popular packaging solution and their meaning. This will help make informed decisions about the type of bag needed.
  Terminology information
  IBC class = Single trip, reusable standard service or reusable heavy duty.
  Safe Working Load (SWL) = This is the capacity of the bag and is related to the maximum weight or volume of the product that the bulk bag can safely hold. Usually it will be displayed in kilograms and ranges from 250kg to 2000kg.
  Size = This will generally be displayed in external dimensions and in centimeters.
  Factor of Safety = Standard ton bags will have a factor of safety of 5: 1, which means a 1000kg capacity bag will not break, tear, or rip weighing less than 5000kg. A factor of safety of 6: 1 is a bulk bag made of thicker woven polypropylene fabric and tested to a higher standard, and is generally a heavy-duty or multi-ride FIBC.
  Filling and unloading functions
  Flat Base - This is a standard flat base on the bottom of the bulk bag that gives it a cube shape. All standard construction bags will come with a smooth base.
  Lifting Loops - Strong loops are sewn into each corner of the bag allowing a forklift to lift and handle it. All FIBCs will come with 4 lift loops.
  Fill Inlet: There are two types of fill inlets. They are;
  Filling nozzle: a long tube that allows contents to flow easily into the bag
  Skirt Top - Additional fabric on the top of the bag that can be secured around the filling device to prevent any loss of content, ensuring that all content flows easily to the IBC.
  Baffles = Additional inner baffles are inserted into the corners of the bulk bag. This can help stabilize the bag and make it stiffer and is used specifically for unstable or fluid products.
  Discharge nozzle = A tube made of woven polypropylene fabric is sewn into the bottom of the bulk bag. This provides easier flow of the content out of the bag when it is held on a hopper and the content is unloaded.
  Food grade = Food grade manufacturing relates to the conditions under which the FIBC has been manufactured and stored prior to delivery to the customer. These conditions are based on strict standards that allow the bag to be suitable for use in food. Food grade bulk bags generally come with an internal polyethylene lamination.
  There are two main types of food grade conditions;
  Clean room = Manufacturing / storage facilities are free of loose threads, dirt and dust. Usually best suited for poultry seeds and feed
  BRC Compliant Food Grade Bulk Bags = Manufactured and stored in strict BRC compliant conditions. This ensures that food grade fiber is suitable for packaging food ingredients without risk of contamination.
  Linings: An internal polyethylene liner provides additional protection for the interior content. Liner can be:
  • Loosely inserted or flanged
  • Handcuffed, where the lining is inserted and the top section is rolled over the top of the bag to make it more secure.
  • With tabs, the lining is sewn in place at the corners to ensure stability inside the bag.

#bulk bags #fibc bags #big bags #jumbo bags #food grade bulk bags

Just Eat Clone, Just Eat Clone Script, White-label Food Delivery App Solution

Food delivery apps are becoming inevitable with each passing day. The sheer convenience of enjoying favorite cuisines from desired restaurants in the comfort of our homes is steering a revolution in the sector. The market for food delivery services is growing, and new players are emerging with distinctive ideas. The emergence of clone apps has made it easier for budding startups to develop and launch the app within a restricted budget and limited time.

Are you an entrepreneur who wishes to launch a JustEat clone app? If so, you need to be wary of the crucial elements that can enable you to gain instant traction. This blog discusses such factors and their impact on your business’s success.

Work diligently on USPs: USPs are Unique Selling Propositions that can differentiate your platform from the rest. Unless and until you establish something unique, there’s no point for users to switch from existing apps to your app.

Have a user-friendly design: Complexity in app design can be the last thing you can expect during JustEat app like development. Hence, ensure that the design is simple, informative, and user-friendly, thereby engaging more audience.

Take care of your supply chain: Encompassing a wide range of restaurants with different cuisines is crucial to satisfy customers from different demographics. Moreover, ensure that you have an efficient delivery team by your side.

Cater to the glocal (global + local) audience: Having a multilingual and multi-currency support option enables you to gain a strong local base and establish a global presence concurrently.

Summing up,
Incorporate these aspects in your white-label JustEat clone, and witness a massive spike in customer engagement and profits in no time.

#just eat app like development #just eat clone #just eat clone app #just eat like app development #just eat clone script

Just Eat Clone, Just Eat Clone Script, White-label Food Delivery App Solution

Any business solution that caters to customers’ convenience is deemed to sustain a spectacular success, and on-demand food delivery is one such silo that channelizes terrific returns and tremendous profitability. Customers no longer need to trail through tedious queues and jam-packed restaurants as they can savor their favorite food items at their home’s comfort.

At Turnkeytown, we confer you with a comprehensive food ordering app development- the Just Eat clone. Infused with world-class features and encircled around a superlative user interface. Capitalize on the flourishing sector by initiating your Just Eat Like App Development today. Connect with us to know more!

#just eat app like development #just eat clone #just eat clone app #just eat like app development #just eat clone script

Word Embeddings Versus Bag-of-Words: The Curious Case of Recommender Systems

Are word embeddings always the best choice?

If you can challenge a well-accepted view in data science with data, that’s pretty cool, right? After all, “in data we trust”, or so we profess! Word embeddings have caused a revolution in the world of natural language processing, as a result of which we are much closer to understanding the meaning and context of text and transcribed speech today. It is a world apart from the good old bag-of-words (BoW) models, which rely on frequencies of words under the unrealistic assumption that each word occurs independently of all others. The results have been nothing short of spectacular with word embeddings, which create a vector for every word. One of the oft used success stories of word embeddings involves subtracting the man vector from the king vector and adding the woman vector, which returns the queen vector:

Very smart indeed! However, I raise the question whether word embeddings should always be preferred to bag-of-words. In building a review-based recommender system, it dawned on me that while word embeddings are incredible, they may not be the most suitable technique for my purpose. As crazy as it may sound, I got better results with the BoW approach. In this article, I show that the uber-smart feature of word embeddings in being able to understand related words actually turns out to be a shortcoming in making better product recommendations.

Word embeddings in a jiffy

Simply stated, word embeddings consider each word in its context; for example, in the word2vec approach, a popular technique developed by Tomas Mikolov and colleagues at Google, for each word, we generate a vector of words with a large number of dimensions. Using neural networks, the vectors are created by predicting for each word what its neighboring words may be. Multiple Python libraries like spaCy and gensim have built-in word vectors; so, while word embeddings have been criticized in the past on grounds of complexity, we don’t have to write the code from scratch. Unless you want to dig into the math of one-hot-encoding, neural nets and complex stuff, using word vectors today is as simple as using BoW. After all, you don’t need to know the theory of internal combustion engines to drive a car!

#cosine-similarity #bag-of-words #python #word-embeddings #recommendation-system