Weekly summary:

• Impressively, this week ETH is leading the sentiments of this sub with a weekly gain of 9.10%.
• BTC is closely following ETH as both are looking bullish on this sub.
• ADA is back in top 3 at third spot and people has been discussing about it more frequently.
• VET for first time is at 4th spot and looking incredibly bullish with over 20% weekly gains.
• CRO is the newest edition at 5th spot and last week was very interesting for CRO with over 66.38% gains. Highest gains in the top 10 for last week.
• DOT is now at 6th spot with over 25% gains.
• SOL is back into top 10 list again (at 7th spot) and sentiments are looking bullish as it made a comeback with market gains of over 27% this week.
• ALGO is 8th spot and looking bullish with sentiments.
• SHIB has lost its temporary 2nd spot from last month and now trailing at 9th spot. Sentiments are as usual mixed and reliability is too low to determine whether the sub is bullish or bearish on it.
• LINK at 10th spot is also looking good with nice 9% gain for the last week.
• Overall, Market has seen the DOT, SOL and CRO making ATH last week. The sentiments for coins are changing pretty quick recently. Notable mention should be Squid Game Token which was the center of controversy last week on this sub.

Word Cloud and N-grams  

WordCloud of r/CryptoCurrency  

Unigram Frequency  

Bigram Frequency  

Trigram Frequency

Low Cap Radar:

Meter (MTRG) is a high performance infrastructure that allows smart contracts to scale and travel seamlessly through heterogeneous blockchain networks. It utilizes a new HotStuff based PoS mechanism with its governance token MTRG to manage its ledger. They claim to be highly decentralized with over 1000 active validator nodes. This also makes Meter the most decentralized layer 2 solution for ETH. Their mainnet was launched in March 2021 and is named "TESLA". Meter does not only function as a layer 2 solution but also allows assets and smart contracts to move and communicate across heterogeneous blockchains like Ethereum, Polkadot and other exchange smart change with their "Meter Passport" system. They have a working DeX called Voltswap. Their platform also support dApps developments and claims to be MEV resistant and uncensorable. Their protocol also supports a built-in metastable currency (MTR) which is arguably first of its kind for a layer 2 solution.

As it goes for any project, invest with caution and DYOR.

Technical: How to read the table:

• The rank represents the times the crypto was mentioned in this sub.
• The values on bearish and bullish columns are the ratio of bullish or bearish comments to how many times the coin was mentioned.
• Reliability index is percentage of strongest sentiment (except neutral) with respect to all sentiments in the comments and averaged over all the comments. It can also be seen as average sentiment distribution (per comment) for the coin.
• Change 7D (%) is the percentage change in the price of the cryptocurrency in last 7 days.

Methodology: For Sentiment Analysis:

• Data collection for sentiments (comments) are performed everyday at 12PM UTC -8:00.
• The comments with less than 6 words are not included in the analysis anymore as many research papers argue them to be low quality sentiments.
• Another filter that is applied that a post or comment should at least have 2 or more upvotes to be included in analysis for this table.
• For this analysis, only one mention of a coin/token per user is considered.
• The sentiment analysis is performed using lexicon model and natural language processing (nltk module for python).
• Emojis are also considered in sentiment analysis and are demojizied using Python emoji library.

For WordCloud and n-gram:

• A word cloud (aka a tag cloud) is a visual representation of words in a picture format. These representations are used to highlight popular words based on frequency and relevance.
• An N-gram means a sequence of N words. For example, for 1-gram or unigram, we consider the frequently occurring single words, for 2-gram or bigram, a sequence of two words and similarly a 3-gram or trigram a sequence of 3 words. They are basically a set of co-occurring words within a given text or in this case, this subreddit.
• For the wordcloud and n-gram analysis, all the comments (without any filters) are collected and popular stop words are removed using (nltk module for python).
• N-gram analysis is performed using WordNetLemmatizer from nltk module for python.

Feedback request:

• If you have any suggestions about the analysis method, you can let me know in the comments.
• In general, any advice for improvement is welcome. Thank you.

Disclaimer: This post should not be taken as a financial, legal or investment advice.